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Paper Citation Record · LEDGER

Probabilistic Attribution For Large Language Models

As of 21 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 1 inbound Pith citation observation for arXiv:2605.21726.

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

pith.paper-citation-record.v1
2605.21726 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T08:55:51.609828Z

measured 37 of 37 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-01T01:52:02.393126Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

36 of 36 outbound references displayed

  • verified exact13
  • verified fuzzy19
  • unresolved3
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch1

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0e4477e6-94b2-4d1d-8202-47a8da617962 · outbound

This paper cites The Curious Case of Neural Text Degeneration.

Probabilistic Attribution For Large Language Models The Curious Case of Neural Text Degeneration

Reference 1

Resolution
verified exact
local_arxiv, observed 2026-05-22T08:56:18.915816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation fb5235d8-6632-4df1-8942-e0cd45282d1e · outbound

This paper cites Jonathon Phillips and Carina Hahn and Peter Fontana and Amy Yates and Kristen K.

Probabilistic Attribution For Large Language Models Jonathon Phillips and Carina Hahn and Peter Fontana and Amy Yates and Kristen K

Reference 2

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.586594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:f15ef862b1751d2bcb403f24f84426477a2f49f9297df4f1f96128405b5491e1

Observation ffdff913-6ab8-4988-a819-727ab011d2d8 · outbound

This paper cites Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead.

Probabilistic Attribution For Large Language Models Stop explaining black box machine learning models for high stakes decisions and use interpretable models instead

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.262338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:78d97ff20f1db1095338e9fcf58a88f3f9462c545058bd3db85d9052e5338d9d

Observation db8504e5-444d-4e39-b674-64937fab38d7 · outbound

This paper cites Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI.

Probabilistic Attribution For Large Language Models Explainable Artificial Intelligence (XAI): Concepts, Taxonomies, Opportunities and Challenges toward Responsible AI

Reference 4

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.574937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:8b528721953b075859a499ee6646aba4d71f4355b39a10d1edef8e3a6567bffc

Observation d6b681c4-9932-45d1-a37e-ae989874d3aa · outbound

This paper cites 2020 , eprint=.

Probabilistic Attribution For Large Language Models 2020 , eprint=

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.214914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:5efaf13e7e572e24c680e8c21f7d7718775cfe3fd6efddfe2a2a260ea26ea6f2

Observation 34f0009e-5267-4373-8dc6-971c75a0c731 · outbound

This paper cites an unresolved cited work.

Probabilistic Attribution For Large Language Models Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-05-22T08:56:19.240159Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation df286544-37b0-4ce8-80cf-6f4312c1b3dc · outbound

This paper cites 1988 , address =.

Probabilistic Attribution For Large Language Models 1988 , address =

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.221965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:0ae0e788a62b7145fe0ebbf44f1816cc59aa545862c7fae2b88114affc23ecd6

Observation 45fa177a-0139-4653-ab37-3555cc667ba1 · outbound

This paper cites 1995 , publisher=.

Probabilistic Attribution For Large Language Models 1995 , publisher=

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.232550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:0c43d7e07e4d323dfb381b942eea5ddcb87e29cd4db3c5c074bddec0dfffde8f

Observation f1e95c7e-f8ef-4ede-a03c-60417929ce60 · outbound

This paper cites an unresolved cited work.

Probabilistic Attribution For Large Language Models Unresolved cited work

Reference 9

Resolution
unresolved
raw_fallback, observed 2026-05-22T08:56:19.247242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:830192b0de51994ef82e6202f3ff33fe0083286be4d6eb1c466ae5ddb2d99c0b

Observation a032ab16-dacc-4b32-91b5-2d8ffd766730 · outbound

This paper cites 2019 , eprint=.

Probabilistic Attribution For Large Language Models 2019 , eprint=

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.229118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:0b45440f578666eec981fa121b3bf7d3445425ef26fa5c1438147f3135147ae7

Observation bf2b0cc1-2401-4d53-9e83-2f505bcd35e8 · outbound

This paper cites Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov.

Probabilistic Attribution For Large Language Models Dai, Jakob Uszkoreit, Quoc Le, and Slav Petrov

Reference 11

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.558175Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:5b359222d1053d7b3453ff4f3e2178d15dd35c94366b079795f7093df60460e1

Observation a84b8b49-9a4b-4e27-a111-a5161cae3bd8 · outbound

This paper cites The LAMBADA dataset: Word prediction requiring a broad discourse context.

Probabilistic Attribution For Large Language Models The LAMBADA dataset: Word prediction requiring a broad discourse context

Reference 12

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.581844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

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Observation 443a2cef-d6d2-4f12-8b58-1e9573bc0836 · outbound

This paper cites A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference.

Probabilistic Attribution For Large Language Models A Broad-Coverage Challenge Corpus for Sentence Understanding through Inference

Reference 13

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.596935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:331920070c77e6736922e7af87d83ad69283e1c18c183c0f6928e77f8be72ccc

Observation 9dfe444d-b5b6-4d96-ba86-a9b17cddf4c5 · outbound

This paper cites title =.

Probabilistic Attribution For Large Language Models title =

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.195609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:d755891ceb3f4123748fe06a27e5085a79ed40919318f54390a4dfb50c913eaa

Observation 8bd1a83e-9298-42c3-9acf-afd6616be27c · outbound

This paper cites Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing.

Probabilistic Attribution For Large Language Models Perturbing Inputs for Fragile Interpretations in Deep Natural Language Processing

Reference 15

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.537224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:a1b61024f49c39ce9b7a8d5a348224b2c01551fc1d252ff6c3e691872a562c31

Observation b5515a31-db2b-4d5d-9823-12a094a0bbf8 · outbound

This paper cites doi:10.5281/zenodo.5297715 , url =.

Probabilistic Attribution For Large Language Models doi:10.5281/zenodo.5297715 , url =

Reference 16

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.553043Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:43f468b8213a03bb7526dfce8943cf0543a50fe2d57776fa54ddd4d1fc423604

Observation d0924e86-8168-4621-aee4-342c6cb0ce9f · outbound

This paper cites The Pile: An 800GB Dataset of Diverse Text for Language Modeling.

Probabilistic Attribution For Large Language Models The Pile: An 800GB Dataset of Diverse Text for Language Modeling

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-05-22T08:56:18.921116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:90a565a33a923d7227184be4d9a879921d3fd0ff549e0756b6df96525f5f44f2

Observation cb002631-bc45-4585-b430-ae85c9b5b4cc · outbound

This paper cites OpenAI blog , volume=.

Probabilistic Attribution For Large Language Models OpenAI blog , volume=

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.258806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:d03783367227c56a038b518d4947552facbf37dbe0c50f435826b8fdfe75b51b

Observation 92fc6ddb-7a15-43d6-a67a-93ded954c666 · outbound

This paper cites HellaSwag: Can a Machine Really Finish Your Sentence?.

Probabilistic Attribution For Large Language Models HellaSwag: Can a Machine Really Finish Your Sentence?

Reference 19

Resolution
verified exact
local_arxiv, observed 2026-05-22T08:56:18.907951Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:5ed25b6ff87fe60ed0de32105594e438d269d73fb1380f03d0bbffd085b28853

Observation f68cc414-fbc5-4f61-92eb-00ae6dbab984 · outbound

This paper cites Inseq: An Interpretability Toolkit for Sequence Generation Models.

Probabilistic Attribution For Large Language Models Inseq: An Interpretability Toolkit for Sequence Generation Models

Reference 20

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.548229Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:3c2ded9568aa14598d23ac1b99efb7ffcf5da3b6d599e13c1494ebc725cc80f4

Observation 9e5bb3ee-3535-4fda-aeaf-d0efb8d5e86c · outbound

This paper cites and Ravikumar, Pradeep , title =.

Probabilistic Attribution For Large Language Models and Ravikumar, Pradeep , title =

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.254417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:c3b4869b2bfdaa4e508c582239581b5de5e46b324f88bd3b29dfb4c6ccaaac3a

Observation db66389e-d79f-4e9e-a1f9-0e29d4edcfe7 · outbound

This paper cites and Ruotsalo, Tuukka and Maal e, Lars and Maistro, Maria.

Probabilistic Attribution For Large Language Models and Ruotsalo, Tuukka and Maal e, Lars and Maistro, Maria

Reference 22

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.591223Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:ba1d0bc98fc6d973de785ed8611d1bbce93f84200b58eb075224f86ecdb9b992

Observation b1052940-1c60-4154-a1e4-bb52fcfd358e · outbound

This paper cites Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =.

Probabilistic Attribution For Large Language Models Proceedings of the 22nd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining , pages =

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.211570Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:df2eb799b7a311a355e95f083a8aa186128ce59bb45d0b19b7c17becdec00412

Observation 24823dc2-9f87-488e-9948-65133b0d683e · outbound

This paper cites Lundberg and Su-In Lee , title =.

Probabilistic Attribution For Large Language Models Lundberg and Su-In Lee , title =

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.188759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:24ff8a54c3f5229a01548718edd53168855a43ad0b44676044f2b09532f73295

Observation 007f9789-33e0-4e57-8ea9-bffb5e9b5526 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning , series =.

Probabilistic Attribution For Large Language Models Proceedings of the 34th International Conference on Machine Learning , series =

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.218126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:3635da3ba4f937d187d0262dcce5b7d25e46d455d3d9d307aad13dac778c09ee

Observation a03e27aa-c8aa-4a6b-ac1c-f1cfc9274eb9 · outbound

This paper cites 2020 , eprint =.

Probabilistic Attribution For Large Language Models 2020 , eprint =

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.225442Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:b37449217b78dcc8bd783905e8246e37555b1c0e4204620e38d306bf7e464d9e

Observation 905d626d-026d-4ef4-939a-6c5a824e3354 · outbound

This paper cites Wallace , title =.

Probabilistic Attribution For Large Language Models Wallace , title =

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.236237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:5f63b4d9e9f3df64a0ac4b021c401935d71ee0d7b6de881f4830bc7ba897a0d5

Observation 05d5ef4a-58c6-4739-96e1-0ed5adc87194 · outbound

This paper cites Wallace , title =.

Probabilistic Attribution For Large Language Models Wallace , title =

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.192332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:38de603cd40fc5717d0125aa86981157a25d9e0f4f0883f3b0123626bb738a25

Observation 04e218a0-aef4-4be5-8ef5-bd7f57e2f776 · outbound

This paper cites an unresolved cited work.

Probabilistic Attribution For Large Language Models Unresolved cited work

Reference 29

Resolution
unresolved
raw_fallback, observed 2026-05-22T08:56:19.207710Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:99cbe44f1cd566dd8349ded05b9bca98d22ea7e81af15b1784c35d45e1a51a1b

Observation a0cd73f4-8332-45d1-81ab-b44820f2cb00 · outbound

This paper cites A Primer in BERT ology: What We Know About How BERT Works.

Probabilistic Attribution For Large Language Models A Primer in BERT ology: What We Know About How BERT Works

Reference 30

Resolution
verified exact
doi, observed 2026-05-22T08:56:18.602303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:ef8355722371c5f07edd4cfc83f5445ae519fc9a3c7913b4556e5d00061932f9

Observation 0a13d465-7d8e-49b3-90f2-12b66a9c8dfb · outbound

This paper cites 2021 , howpublished =.

Probabilistic Attribution For Large Language Models 2021 , howpublished =

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.185087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:0767a7dccc7d6a437bb4c22f0dae970b21437c55120aaf90f123bcb1acbe22ca

Observation 3d383119-a439-405b-b719-bad116bd131d · outbound

This paper cites ArXiv , year=.

Probabilistic Attribution For Large Language Models ArXiv , year=

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.181485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:531b7f81e516b52c3dbdf1a97c72e25eaa6b9d39716c36605321572204cb1261

Observation 95a1e3ca-895f-483c-8760-8f7fd4a03ef1 · outbound

This paper cites Proceedings of the 34th International Conference on Machine Learning - Volume 70 , pages =.

Probabilistic Attribution For Large Language Models Proceedings of the 34th International Conference on Machine Learning - Volume 70 , pages =

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.243849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:7b6f5862c2862f1136ed9211da96d844ebb3a199da754c03cb293ed94856b3ce

Observation a1dd92e7-f2fd-4855-af29-8446074700d7 · outbound

This paper cites Why Should I Trust You?.

Probabilistic Attribution For Large Language Models Why Should I Trust You?

Reference 34

Resolution
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arxiv_id, observed 2026-05-22T08:56:18.567067Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:e4ca7bd12c98dfa5fd09d00dc30e630d126e377d7cf413bce8f1fe4b76770b5a

Observation abc2a4cc-f827-4546-92ae-b5baa9af0e9a · outbound

This paper cites and Fergus, Rob.

Probabilistic Attribution For Large Language Models and Fergus, Rob

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.250901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:d1ebf047172f1cc4a53b3d1d96cf65f39316d0d99ad0add577c81762a8c7c921

Observation a4f42c74-02e7-4639-804f-f39ae945c573 · outbound

This paper cites 2024 , eprint=.

Probabilistic Attribution For Large Language Models 2024 , eprint=

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-05-22T08:56:19.203857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:3833d4a7fee1b9e6c6de574264e7151ff1465f64d91fe539051b83e7b536d163

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CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization cites this paper.

CoRT: Counterfactual Replay for Token-Level Rubric-Guided Policy Optimization Probabilistic Attribution For Large Language Models

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source=arxiv_source observed=2026-08-01T01:52:02.393126Z digest=sha256:f78373c19dfd219933f75e571116f91dae78bd2674294941bba8e856a831e3c7