Paper Citation Record · LEDGER

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models

As of 4 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 2 inbound Pith citation observations for arXiv:2506.17585.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2506.17585 v3

Coverage vector

measured 57 of 57 reference resolution

Typed states for the displayed outbound observations.

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One-hop event checks from named stored sources.

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measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-02T16:13:43.039645Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: pith, observed 2026-07-10T12:15:01.137692Z

Reference resolution

57 of 57 outbound references displayed

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External citation measurements

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Outbound references

Observation d3d896c2-d8f8-44f0-909d-49deb791a28e · outbound

This paper cites S., Turc, I., and Reitter, D.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models S., Turc, I., and Reitter, D

Reference 1

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This paper cites Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Survey on Factuality in Large Language Models: Knowledge, Retrieval and Domain-Specificity

Reference 2

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Unresolved cited work

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This paper cites Extracting training data from large language models.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Extracting training data from large language models

Reference 4

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Unresolved cited work

Reference 5

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Observation a64fc19d-001c-4e1a-9608-967361bcef2b · outbound

This paper cites Chatgpt hallucinates when attributing answers.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Chatgpt hallucinates when attributing answers

Reference 6

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This paper cites WebGPT: Browser-assisted question-answering with human feedback.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models WebGPT: Browser-assisted question-answering with human feedback

Reference 7

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This paper cites Teaching language models to support answers with verified quotes.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Teaching language models to support answers with verified quotes

Reference 8

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This paper cites Rethinking with Retrieval: Faithful Large Language Model Inference.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Rethinking with Retrieval: Faithful Large Language Model Inference

Reference 9

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This paper cites RARR: Researching and revising what language models say, using language models.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models RARR: Researching and revising what language models say, using language models

Reference 10

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This paper cites Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, and Kelvin Guu.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Zhao, Ni Lao, Hongrae Lee, Da-Cheng Juan, and Kelvin Guu

Reference 11

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This paper cites How Context Affects Language Models' Factual Predictions.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models How Context Affects Language Models' Factual Predictions

Reference 12

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This paper cites Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Adaptive chameleon or stubborn sloth: Revealing the behavior of large language models in knowledge conflicts

Reference 13

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This paper cites URL: https://openreview.net/forum?id=auKAUJZMO6.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models URL: https://openreview.net/forum?id=auKAUJZMO6

Reference 14

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Observation 70f10222-862e-4136-932a-14299ba7e4d4 · outbound

This paper cites Automatic evaluation of attribution by large language models.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Automatic evaluation of attribution by large language models

Reference 15

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Observation 01286743-5a93-4d8b-a011-f9e8b758dc59 · outbound

This paper cites Enabling large language models to generate text with citations.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Enabling large language models to generate text with citations

Reference 16

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Observation b7fc4f64-d995-4e2a-be22-51dbcaa38264 · outbound

This paper cites Source-aware training enables knowledge attribution in language models.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Source-aware training enables knowledge attribution in language models

Reference 17

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This paper cites Evaluating verifiability in generative search engines.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Evaluating verifiability in generative search engines

Reference 18

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This paper cites Effective large language model adaptation for improved grounding and citation generation.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Effective large language model adaptation for improved grounding and citation generation

Reference 19

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This paper cites HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models HAGRID: A Human-LLM Collaborative Dataset for Generative Information-Seeking with Attribution

Reference 20

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Observation 1d3dd4eb-ea7d-4ae0-af3f-ede33479728b · outbound

This paper cites Training Language Models to Generate Text with Citations via Fine-grained Rewards.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Training Language Models to Generate Text with Citations via Fine-grained Rewards

Reference 21

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models SelfCite: Self-Supervised Alignment for Context Attribution in Large Language Models

Reference 23

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This paper cites To trust or not to trust? enhancing large language models’ situated faithfulness to external contexts.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models To trust or not to trust? enhancing large language models’ situated faithfulness to external contexts

Reference 24

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Recitation-augmented language models

Reference 25

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models according to

Reference 26

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Generative retrieval with large language models

Reference 27

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This paper cites Verifiable by design: Aligning language models to quote from pre-training data.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Verifiable by design: Aligning language models to quote from pre-training data

Reference 28

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models ASQA: Factoid questions meet long-form answers

Reference 29

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This paper cites KILT: a benchmark for knowledge intensive language tasks.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models KILT: a benchmark for knowledge intensive language tasks

Reference 30

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models ELI5: long form question answering

Reference 31

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This paper cites CCNet: Extracting high quality monolingual datasets from web crawl data.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models CCNet: Extracting high quality monolingual datasets from web crawl data

Reference 32

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models SciQAG: A Framework for Auto-Generated Science Question Answering Dataset with Fine-grained Evaluation

Reference 33

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This paper cites Repliqa: A question-answering dataset for benchmarking llms on unseen reference content.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Repliqa: A question-answering dataset for benchmarking llms on unseen reference content

Reference 34

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models F resh LLM s: Refreshing large language models with search engine augmentation

Reference 35

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models TrueTeacher: Learning factual consistency evaluation with large language models

Reference 36

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Observation dbeaa4b3-8670-43cd-aa0d-2beee9f61fc4 · outbound

This paper cites Physics of language models: Part 3.2, knowledge manipula- tion.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Physics of language models: Part 3.2, knowledge manipula- tion

Reference 37

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Synthetic continued pretraining

Reference 38

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Unresolved cited work

Reference 39

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Generalization v.s

Reference 40

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This paper cites The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models The Web Is Your Oyster - Knowledge-Intensive NLP against a Very Large Web Corpus

Reference 41

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Cohen, and Donald Met- zler

Reference 42

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This paper cites From matching to generation: A survey on generative information retrieval.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models From matching to generation: A survey on generative information retrieval

Reference 43

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This paper cites Corpuslm: Towards a unified language model on corpus for knowledge-intensive tasks.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Corpuslm: Towards a unified language model on corpus for knowledge-intensive tasks

Reference 44

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Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models TRAK: attributing model behavior at scale

Reference 45

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This paper cites Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, and Ian Tenney.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Chang, Dheeraj Rajagopal, Tolga Bolukbasi, Lucas Dixon, and Ian Tenney

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.508274Z

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Observation 606f78e2-fb7a-41ab-8a08-28c3f36683d9 · outbound

This paper cites CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models CopyBench: Measuring Literal and Non-Literal Reproduction of Copyright-Protected Text in Language Model Generation

Reference 47

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This paper cites In-batch negatives for knowledge distilla- tion with tightly-coupled teachers for dense retrieval.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models In-batch negatives for knowledge distilla- tion with tightly-coupled teachers for dense retrieval

Reference 48

Resolution: verified exact; doi, observed 2026-05-19T07:42:08.686709Z

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This paper cites The model is directly prompted to rank text titles given document content.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models The model is directly prompted to rank text titles given document content

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.499963Z

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This paper cites This approach uses natural-language identifiers that align with the model’s training distribution.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models This approach uses natural-language identifiers that align with the model’s training distribution

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.502265Z

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This paper cites Documents are embedded and clustered using K-means into 10 top-level groups.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Documents are embedded and clustered using K-means into 10 top-level groups

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.504245Z

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This paper cites For each cluster, we use an LLM to generate a representative keyword based on its most salient documents.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models For each cluster, we use an LLM to generate a representative keyword based on its most salient documents

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.506344Z

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This paper cites Keywords appear first, followed by the broader domain label (e.g., entropy- energy-physics), emphasizing specificity before generality.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Keywords appear first, followed by the broader domain label (e.g., entropy- energy-physics), emphasizing specificity before generality

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.553141Z

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This paper cites This indicates that the model is capable of recalling parametric knowledge and integrating diverse sources during generation.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models This indicates that the model is capable of recalling parametric knowledge and integrating diverse sources during generation

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.557170Z

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Observation 7274f9e2-1433-4c95-b0d3-9c2a9990d2a5 · outbound

This paper cites This suggests a mismatch between content planning and citation generation.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models This suggests a mismatch between content planning and citation generation

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.538475Z

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Observation 4c9509ec-f148-47c3-9a12-0edc8905b448 · outbound

This paper cites dry mouth.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models dry mouth

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.540752Z

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Observation 2a3ea472-91a8-44e4-b1ba-03b2a05a0d91 · outbound

This paper cites Title Lure.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Title Lure

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.536527Z

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Observation d657d6d1-cd8b-497a-b9fb-87e94c70a315 · outbound

This paper cites Near Miss.

Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models Near Miss

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-19T07:42:09.534643Z

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Pith citing papers

Observation c2cf5f95-8b75-45eb-ac39-761d7574d32d · inbound

Train, Retrieve, or Both? A Four-Arm Head-to-Head for Correct Statutory Citation on the Ontario Residential Tenancies Act cites this paper.

Train, Retrieve, or Both? A Four-Arm Head-to-Head for Correct Statutory Citation on the Ontario Residential Tenancies Act Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models

Reference 1

Resolution: verified exact; local_arxiv, observed 2026-07-04T03:49:30.574597Z

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Observation 81f94aed-631b-4a97-aab4-83145db597e1 · inbound

Prototype Language Models cites this paper.

Prototype Language Models Cite Pretrain: Retrieval-Free Knowledge Attribution for Large Language Models

Reference 162

Resolution: verified exact; local_arxiv, observed 2026-07-02T16:17:08.136738Z

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