This is the complete chronological view of the primary-source registry as of 2026-08-09. It complements the explanatory chronology: that chapter follows causal architectural transitions, while this index makes all registered works—including parsing, chunking, sparse execution, ANN, ranking, evaluation, privacy, security, multimodal retrieval, memory, and serving—discoverable by first public date.
Dates are the earliest public date recorded in sources.json, not necessarily the later proceedings year. Status is explicit because an influential preprint or industry report is not equivalent to a peer-reviewed result. Entries link to an original paper, official proceedings page, or first-party program/report; the registry's title, date, venue, URL, status, and topics are the canonical metadata.
How to read the eras
- 1971–2013: retrieval and indexing foundations. Relevance feedback, probabilistic term specificity, the vector-space model, BM25, passage segmentation, relevance models, dynamic pruning, RRF, PQ/OPQ, and ANN establish the substrate later RAG systems inherit.
- 2014–2019: differentiable memory and open-domain retrieve/read. Memory Networks, DrQA, knowledge-grounded dialogue, graph QA, dense latent retrieval, kNN-LM, early BERT reranking, document expansion, DiskANN, and multi-hop benchmarks move external evidence into neural NLP.
- 2020–2021: modern neural retrieval and retrieval-conditioned generation. REALM, DPR, RAG, FiD, ColBERT, ANCE, KILT, RocketQA, learned sparse search, RETRO, BEIR, ScaNN, SPANN, and training/distillation work define the modern stack.
- 2022–2023: generalization, instruction, long-form attribution, and retrieval-aware control. Atlas, Contriever, E5/INSTRUCTOR/GTR, HyDE, FLARE, IRCoT, ALCE, Self-RAG, RAPTOR, and broader evaluation make retrieval more controllable and auditable.
- 2024–2026: adaptive/agentic policies, graph and visual documents, reasoning-aware retrieval, memory, safety, and systems. The frontier learns whether/when/how to retrieve and stop, while evaluation exposes citation, freshness, poisoning, privacy, multimodal, long-context, and production trade-offs.
Cross-paper scores are not comparable merely because methods appear in the same year. Corpus snapshots, qrels, retrieval depth, generators, prompts, models, judges, and budgets differ. Use this index to find evidence, then read the mechanism and limitation analysis in the linked handbook chapter.
Registry summary
The index contains 203 works: 1 benchmark-program, 2 industry-report, 181 peer-reviewed, 19 preprint.
Most represented topic tags:
benchmark— 26multi-hop— 12dense-retrieval— 12generation— 9efficiency— 9reranking— 9ann— 9pretraining— 8rag— 8multimodal— 8long-context— 8graph— 8evaluation— 8memory— 7reasoning— 7reinforcement-learning— 7citations— 7embeddings— 7retrieval— 6distillation— 6learned-sparse— 6security— 6privacy— 6routing— 5visual-rag— 5chunking— 5late-interaction— 4compression— 4iterative-retrieval— 4robustness— 4
Retrieval and indexing foundations (1971–2013)
1971
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 1 | 1971 | Relevance Feedback in Information Retrieval | The SMART Retrieval System; peer-reviewed | relevance-feedback, query-expansion |
1972
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 2 | 1972 | A Statistical Interpretation of Term Specificity and Its Application in Retrieval | Journal of Documentation; peer-reviewed | tf-idf, sparse-retrieval |
1975
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 3 | 1975 | A Vector Space Model for Automatic Indexing | Communications of the ACM; peer-reviewed | vector-space, information-retrieval |
1976
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 4 | 1976 | Relevance Weighting of Search Terms | JASIS; peer-reviewed | probabilistic-ir, term-weighting |
1994
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 5 | 1994-11 | Okapi at TREC-3 | TREC-3 / NIST SP 500-225; peer-reviewed | bm25, sparse-retrieval |
1997
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 6 | 1997 | TextTiling: Segmenting Text into Multi-Paragraph Subtopic Passages | Computational Linguistics; peer-reviewed | chunking, topic-segmentation |
2001
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 7 | 2001 | Relevance-Based Language Models | SIGIR 2001; peer-reviewed | rm3, pseudo-relevance-feedback, language-model-retrieval |
2003
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 8 | 2003 | Efficient Query Evaluation Using a Two-Level Retrieval Process | CIKM 2003; peer-reviewed | inverted-index, dynamic-pruning, wand |
2009
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 9 | 2009 | Reciprocal Rank Fusion Outperforms Condorcet and Individual Rank Learning Methods | SIGIR 2009; peer-reviewed | fusion, rrf |
2011
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 10 | 2011 | Faster Top-k Document Retrieval Using Block-Max Indexes | SIGIR 2011; peer-reviewed | inverted-index, dynamic-pruning |
| 11 | 2011 | Product Quantization for Nearest Neighbor Search | IEEE TPAMI; peer-reviewed | ann, quantization, compression |
2013
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 12 | 2013 | Optimized Product Quantization for Approximate Nearest Neighbor Search | CVPR 2013; peer-reviewed | ann, quantization, rotation |
Differentiable memory and open-domain retrieve/read (2014–2019)
2014
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 13 | 2014-10-15 | Memory Networks | ICLR 2015; peer-reviewed | memory, multi-hop |
2015
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 14 | 2015-03-31 | End-To-End Memory Networks | NeurIPS 2015; peer-reviewed | memory, differentiable-retrieval |
2016
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 15 | 2016 | Efficient and Robust Approximate Nearest Neighbor Search Using Hierarchical Navigable Small World Graphs | IEEE TPAMI; peer-reviewed | ann, hnsw, vector-index |
2017
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 16 | 2017 | Billion-scale Similarity Search with GPUs | IEEE Big Data 2017; peer-reviewed | ann, gpu, faiss |
| 17 | 2017-03-31 | Reading Wikipedia to Answer Open-Domain Questions | ACL 2017; peer-reviewed | open-qa, tf-idf, reader |
2018
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 18 | 2018 | HotpotQA: A Dataset for Diverse, Explainable Multi-hop Question Answering | EMNLP 2018; peer-reviewed | multi-hop, benchmark, supporting-facts |
| 19 | 2018 | Open Domain Question Answering Using Early Fusion of Knowledge Bases and Text | EMNLP 2018; peer-reviewed | knowledge-graph, text, graph-neural-network |
| 20 | 2018 | Retrieve and Refine: Improved Sequence Generation Models for Dialogue | EMNLP SCAI 2018; peer-reviewed | generation, dialogue |
| 21 | 2018 | Wizard of Wikipedia: Knowledge-Powered Conversational Agents | ICLR 2019; peer-reviewed | dialogue, knowledge-grounding |
2019
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 22 | 2019 | Context-Aware Term Weighting for First Stage Passage Retrieval | SIGIR 2020; peer-reviewed | learned-sparse, term-weighting |
| 23 | 2019 | DiskANN: Fast Accurate Billion-point Nearest Neighbor Search on a Single Node | NeurIPS 2019; peer-reviewed | ann, disk, vector-index |
| 24 | 2019 | PullNet: Open Domain Question Answering with Iterative Retrieval on Knowledge Bases and Text | EMNLP-IJCNLP 2019; peer-reviewed | knowledge-graph, iterative-retrieval |
| 25 | 2019-01 | Passage Re-ranking with BERT | arXiv; preprint | reranking, cross-encoder |
| 26 | 2019-04 | Document Expansion by Query Prediction | arXiv; preprint | document-expansion, sparse-retrieval |
| 27 | 2019-06-01 | Latent Retrieval for Weakly Supervised Open Domain Question Answering | ACL 2019; peer-reviewed | dense-retrieval, latent-evidence, ict |
| 28 | 2019-11-01 | Generalization through Memorization: Nearest Neighbor Language Models | ICLR 2020; peer-reviewed | language-modeling, non-parametric-memory |
Modern neural retrieval and RAG (2020–2021)
2020
| # | First public | Work | Venue/status | Topics |
|---|---|---|---|---|
| 29 | 2020 | Accelerating Large-Scale Inference with Anisotropic Vector Quantization | ICML 2020; peer-reviewed | ann, scann, quantization |
| 30 | 2020 | Adaptive Semiparametric Language Models | TACL 2021; peer-reviewed | memory, adaptive-fusion |
| 31 | 2020 | Approximate Nearest Neighbor Negative Contrastive Learning for Dense Text Retrieval | ICLR 2021; peer-reviewed | dense-retrieval, ann-negatives, training |
| 32 | 2020 | ColBERT: Efficient and Effective Passage Search via Contextualized Late Interaction over BERT | SIGIR 2020; peer-reviewed | late-interaction, multi-vector |
| 33 | 2020 | Constructing A Multi-hop QA Dataset for Comprehensive Evaluation of Reasoning Steps | COLING 2020; peer-reviewed | multi-hop, benchmark, reasoning |
| 34 | 2020 | Document Ranking with a Pretrained Sequence-to-Sequence Model | Findings EMNLP 2020; peer-reviewed | reranking, t5, generative-ranking |
| 35 | 2020 | DocVQA: A Dataset for VQA on Document Images | WACV 2021; peer-reviewed | document-ai, visual-qa, benchmark |
| 36 | 2020 | KILT: a Benchmark for Knowledge Intensive Language Tasks | NAACL 2021; peer-reviewed | benchmark, provenance, wikipedia |
| 37 | 2020 | RocketQA: An Optimized Training Approach to Dense Passage Retrieval for Open-Domain Question Answering | NAACL 2021; peer-reviewed | dense-retrieval, denoising, cross-batch-negatives |
| 38 | 2020-02-10 | REALM: Retrieval-Augmented Language Model Pre-Training | ICML 2020; peer-reviewed | pretraining, latent-retrieval, index-refresh |
| 39 | 2020-04-10 | Dense Passage Retrieval for Open-Domain Question Answering | EMNLP 2020; peer-reviewed | dense-retrieval, contrastive-learning, faiss |
| 40 | 2020-05-22 | Retrieval-Augmented Generation for Knowledge-Intensive NLP Tasks | NeurIPS 2020; peer-reviewed | rag, latent-documents, seq2seq |
| 41 | 2020-06-26 | Pre-training via Paraphrasing | NeurIPS 2020; peer-reviewed | pretraining, multilingual, retrieval |
| 42 | 2020-07-02 | Leveraging Passage Retrieval with Generative Models for Open Domain Question Answering | EACL 2021; peer-reviewed | fusion-in-decoder, multi-passage |
| 43 | 2020-12-08 | Distilling Knowledge from Reader to Retriever for Question Answering | ICLR 2021; peer-reviewed | distillation, reader-to-retriever |
2021
Generalization, attribution, and retrieval control (2022–2023)
2022
2023
Adaptive, multimodal, secure, and production RAG (2024–2026)
2024
2025
2026
Coverage and maintenance rules
The index is broad by design, but it is not a claim that every publication ever using retrieval appears here. A work enters the registry when it is needed to support a historical, mechanism, empirical, evaluation, security, or systems claim in this repository. The coverage matrix shows which lifecycle surface each body of work supports.
When adding a source:
- prefer final official proceedings, then accepted-paper/author manuscript, then an original preprint or first-party report;
- record earliest public date separately from venue year;
- use a unique stable ID and primary URL;
- label status without upgrading preprints or industry reports;
- attach specific topic tags and update the substantive chapter;
- regenerate this file and the complete handbook notebook; and
- run the full validator so dates, links, notebook execution, and coverage remain synchronized.