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Paper Citation Record · LEDGER

Probabilistic Attribution For Large Language Models

As of 18 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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:2aa395d788003f84477ccb022b3910a18ff17b3fe9a14c09097820b1f38c356e

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:db673d6a855f7370ace6ecda336af87a14874ea8623ed84ca77dd677eec2c0e3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:509db3525bb46ee20264e133120a64764c0c95c0a313e00f519395e35b1c924c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:bb25c43f6b0ab226c519d4a47fee493667e4af5c9e426789ab7d15aad939c6fb

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:0039b7cc44419c46812856013238f64a72cce19ce06d4b2c4733f9533c51a062

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:8ffe3b094295b3c33b5dd17b5498c0dc0306d898e59d2b0849c0d77e29d64f46

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:38ca387bba4a063b11ea5754ea2d25326e0e413ed23dd239d2272c81b8e2e29d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:e47ecb2a60b6e926555e32262328d4335820a1d4c10af79d9fc9dc82a3ec72a3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:54944681a24835e69625da1a4761964c2a8806a213625dfe1d0608ea26d16c0c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:dae9905f129cc59dc0339561e2bc78766718539f26f705570bd00265f02fe864

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:016b57e91fbf62eaa274d7c6c15e98fa36e1d8b7ffdf62ec3f24d31550471767

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:bc9066397d1612802f32d598fc139ed1d69dc973d87fb9eccd2e27d608b6750f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:30c6c7444476e4030e603c087299473591cf11adf28880811e3108c9fd5ac563

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:48ba261e23ace47ab376d239e10647e4e3f2c4fe4fa57d6b987810a726615093

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:29a61b5a5c884206b79d88500b080bc8c93e02c63e41a2bada30049f99ff055b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:e17af4bf81ea0bc7ce0e9e3f70a53fdbfc6db880f454144fa15cc98e0a5b48c4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:72461b505f95f23b2159e9bde219ff4e5dbb51046d6319934b149943adb0b892

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:2faf6cd42aad64b8db0fb8f38dcb3a9fec2285f8827729734fd057cae1c81b7d

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:85af86c74783f7f9fe65db2cc3401600ecb522c2f79cb739db45f933557e7e43

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:0639b822167a4409a7b085185f528896227906baaace43b9912702853c269b0c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:82415c74277c7a8d5a18607000871a9b6fdff25e16b77de4289371568f72f271

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:0ffe821748a6c803bcbc94c67cb8031e59318c96634b5487385da4c2556014bf

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:de1ae645cd944c0b06716ac700c09739515e13de3d63dce8dec725190fc46da5

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:5d42ea3fabce61045ad3fb18ee8eed14aff32ff9ea1dd67cdff43d7087a15240

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:28a6c656c01e225ce080fc58eb434f99fd70973962b3a99dd8079f2641945ff1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:c5d7d7fdeb8650c43d6fe6d8bc1382180fc48eb32c6c606363de444aaa058983

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:4354a461f8f5ca005a10e3cb50801e2da5f60927d12ead5b96d121e5c15dfad1

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:f210d7bb25d4430451ae96b21eb2e5a6ca960c60f4889c34aa9212a153621552

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:e4e149b3650822ac4c59e74b7f91a1d1d5349dec2525b9dbc00b8b123870e22f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:1bec849e4202857279ee0cb522ce6bfa389440954da454f8665cd6f7ae3b8108

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:aeb03ef0ce8313893de3990f5847b424478f6725f003b443ae637f96de7d92b3

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:f8a07d7ecd2b144a69bf24146c4667f53ba1aae4bcca550f4c5a4effb14b6ca7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:e08c71fe60f8ee3fabde600ae6580901dd8b703be68e570e4cd0142a23ad1124

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:c4b04249f39a7fc66fe13409ba650ed7c5ef55b0c208e35edde5264768caea5c

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:8c3de1f77fa9a379b58a968a8798a6bf1086aae89c75325ced07cec31b4eacc5

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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=sha256:463bfbd9b2bcab9c64945e86639c08730857e420029d4a094e5a30d51bb547ad