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Paper Citation Record · LEDGER

Probabilistic Attribution For Large Language Models

As of 19 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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:1d3b399c785123963c25f542e7f6de70e0d3a23f014a36b4ae3fe1ae03da18b7

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:819c7e1ee01fd48024a11b91623859b84718c28429c024cdb831c94731d6da14

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:0e7defb2f05697a77b6e79cdda9dd1d27c874e85ae3daadf26f57664d5b64d90

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:fee96d5f6a1c6b38d1e927a78773292ba781559aa22de0ef24ffb671b7e33107

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 2026-08-19T06:32:44.657259+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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:28a7c099ea5ace841b3b9a87e0a0d6d03d1add93007cab826528fb0322aed368

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:4ca57c77d6c419859fbf6f9667213ac2aead26a10bb4457420de40c3d408bd7c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:10227347b3c16da32ec9efad8f6a61629f06086884da5fbe658a60bbfd44c247

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:36a7fb432e24374ed7a0236cf0014e7d7047517ddaafeefa8b3005d9fec0163c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:248d1bfe176bf747f9d6de347e376a697d13bb540b4a7adfc7fa5384c989b968

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:964944e010696ee4cc17447adbc7772cf8b46ffa6df3225259a5365da1b63ed3

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:ac51ee800306c4b807288c9e2414044e8a4700739d5cc7a17ad733367e9b2c13

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

This paper cites title =.

Probabilistic Attribution For Large Language Models title =

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:4b67ba4db29e76ddcd0afb1f69788b4aee2e432cef35a8e1211b43ed0cb748a9

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:776d17f8d24908d84d0e28ae97c723c8d9f88c6291b87c4f87d6eb1c70c44fdd

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:f2380d9169480b388011816121c75cd1d4e4d070cf06f6155607c96ff75f6898

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:b85e815427a449ac362b61497db53e65055e119dfcf8791afaf97a156d4c1cf1

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:718b42cd6bc370846f0a15148dbdd6ccd7ae2ec5e1f28f1525fd1217c946aaa3

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:9a00e30a4ac1d03c4dedd6930f344c55da43d95e122a3c6aec3dc06a48e5be10

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:ba275ca5354c999deae8e44e92c3f81f1b558e46936a8f214a3a80265ca8323d

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:af1a64ae660826200256f4252a2dc8a507df1aadcae66005d6dbc80e39f4284e

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:4fbac2de9365091e19770df7e0cc230403b99b879098fd2f4733f824ea708b54

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:be3e2a8914f274aa7cb59679ab43aed9a0a659b305a8c878dadcf4c8095fe765

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:58f36e7320b31b862821cd41c458d8c98fc6c7d5755c062f1cd5bb6bf73fddef

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:3a1ff09f26e4dddf4ec829a351b61ec6d2f6a1595f725461285d7e4956ca9854

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:d6ab40ef5d8d2ec11492e4e574dd637d8e014502d8f7e25042e7d46dccf26b22

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:ac7c8521f395f0abd4c3146c839abe767b7570b1aca1b47114648f499fe7f410

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:adf13e389d148d0415babe053eedb3cf46e892cb2575a26d17aa60f3f07a6377

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:282b03bc8c13e7e3fa88c66736bc16bf6d55cf4e12b55534bc959ed2421ca39c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:4d8e7ae609b7d7fd2285d7143ff2c757b593a03c8ec27f72dbfee6f84c71f324

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:0031c512ac3100c249126a66abf3b8d0ed76fe6e4ca93940cbe7880b6843a59f

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:6e04b92ea20b14ad7b65c4227ec3012deb31cb1dd469549ca75a72f609e6e29c

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:b79545306b3eafabc8cd72ef2a245f1526091cd2fc97bb8b5dd5fcf378ed9389

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:df8219632729a9fa81893b2f508469096098ed4130b5b7d1d841c5ae3df5b852

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:8d4f2417705cfd63c4311256be9e8d81e23e033f985d465c5d587fc4e2fd8122

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 2026-08-19T06:32:44.657259+00:00.

source=arxiv_source observed=2026-05-22T08:55:51.609828Z digest=sha256:fc6b64a22213911f95f552ace9548994bd4dd1cee8ae0b8a2039d740663cf736

Pith citing papers

Observation 35c04bb7-a48e-4f65-b89a-eb4165b2b3d0 · inbound

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

Reference 25

Resolution
unresolved
no resolver link, observed 2026-08-01T01:52:02.393126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T01:52:02.393126Z digest=sha256:463bfbd9b2bcab9c64945e86639c08730857e420029d4a094e5a30d51bb547ad