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Paper Citation Record · LEDGER

The Foundation Model Transparency Index

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 16 inbound Pith citation observations for arXiv:2310.12941.

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

pith.paper-citation-record.v1
2310.12941 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 16 of 16 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 16 of 16 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:50:20.043930Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

43
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation aa1bf37d-5aa7-4ef6-854d-f84f6f1aafba · inbound

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models cites this paper.

Laissez-Faire Harms: Algorithmic Biases in Generative Language Models The Foundation Model Transparency Index

Reference 77

Resolution
verified exact
arxiv_id, observed 2026-05-24T02:03:44.431731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T01:59:53.326834Z digest=sha256:086980913cbd87269536af91e7fe4012558830260be5a4149ada2ce0ae7397eb

Observation 75e5d2a9-078d-4d05-9cd0-035f326f93d8 · inbound

A Study of LLMs' Preferences for Libraries and Programming Languages cites this paper.

A Study of LLMs' Preferences for Libraries and Programming Languages The Foundation Model Transparency Index

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-22T22:55:12.330959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-22T22:53:16.951417Z digest=sha256:2a107606b8b4d1b0c556604822f66b2a1d175ccfed8cdd1a573af58505e09084

Observation 4afeb17b-9ee8-49f3-b19c-653dabbbca8c · inbound

AI Data Development: A Scorecard for the System Card Framework cites this paper.

AI Data Development: A Scorecard for the System Card Framework The Foundation Model Transparency Index

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T11:50:20.043930Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:50:20.043930Z digest=sha256:2b0f844ae6fa82090b7b705468a78576a1b1e3b772ffaacf585c7342261f29f2

Observation 255d5abc-0373-4695-a9f0-8127e8583b8a · inbound

Data-Centric Safety and Ethical Measures for Data and AI Governance cites this paper.

Data-Centric Safety and Ethical Measures for Data and AI Governance The Foundation Model Transparency Index

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T04:34:07.678099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:34:07.678099Z digest=sha256:463024b5299ae9c042611918d374adda731226314ecaa2ab1b45b1973141968e

Observation 74e7d9b9-db9a-4e28-8280-093c58ab0a80 · inbound

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning cites this paper.

Winter Soldier: Backdooring Language Models at Pre-Training with Indirect Data Poisoning The Foundation Model Transparency Index

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T00:16:18.470209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:16:18.470209Z digest=sha256:702f20addbfa8a2e68981723c5eb2695b81282f1f297ba1899737b3325c1c23c

Observation 11503f4f-fc95-44d3-89c7-f7a7d7340fca · inbound

MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI cites this paper.

MusGO: A Community-Driven Framework For Assessing Openness in Music-Generative AI The Foundation Model Transparency Index

Reference 42

Resolution
unresolved
no resolver link, observed 2026-08-06T20:09:33.747936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T20:09:33.747936Z digest=sha256:5e48ce4296a3337748a526329b487f9e71230a27221a04cdb2fbf417a7ea91a8

Observation 9c3e483c-8d41-4cfe-9a8c-2f7eed543c48 · inbound

FlexOlmo: Open Language Models for Flexible Data Use cites this paper.

FlexOlmo: Open Language Models for Flexible Data Use The Foundation Model Transparency Index

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-06T18:57:15.908918Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:57:15.908918Z digest=sha256:e12be5e208b71039524dc5beca5c79f4b8243b7681db12aa1290cb5438dcffee

Observation 899f0154-50f8-4b46-89cc-a8fc257d21de · inbound

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies cites this paper.

User Privacy and Large Language Models: An Analysis of Frontier Developers' Privacy Policies The Foundation Model Transparency Index

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-05T06:00:20.348115Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T06:00:20.348115Z digest=sha256:569130d05d0560f5c3464a1bea9368ff71aebf8fabc35754b686368b5607497d

Observation bbbead25-90ea-4cbc-866a-56f968e07243 · inbound

Human-aligned AI Model Cards with Weighted Hierarchy Architecture cites this paper.

Human-aligned AI Model Cards with Weighted Hierarchy Architecture The Foundation Model Transparency Index

Reference 8

Resolution
verified exact
arxiv_id, observed 2026-05-18T09:11:09.648094Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-18T09:09:11.154051Z digest=sha256:e20a71bcd6a21843ec981adc7b70642132e93e2ad83b6515e05d7036b9770d3b

Observation 66aee61c-313e-446e-873f-a2f6befa8769 · inbound

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems cites this paper.

The 2025 AI Agent Index: Documenting Technical and Safety Features of Deployed Agentic AI Systems The Foundation Model Transparency Index

Reference 20

Resolution
verified exact
arxiv_id, observed 2026-05-15T20:46:36.255970Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-15T20:41:49.137745Z digest=sha256:3640df513b9e26af8f1bf6d153cf4322df3de30c6cdaedf9e4e3e4982649aa72

Observation 85072f21-4fe1-4886-a8de-3b1deb0c8b61 · inbound

TRUST: A Framework for Decentralized AI Service v.0.1 cites this paper.

TRUST: A Framework for Decentralized AI Service v.0.1 The Foundation Model Transparency Index

Reference 5

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T10:01:28.774194Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-07T08:22:14.239443Z digest=sha256:7897c7822a0da15847d2d14714dc84e80b8733fea2caf5fd9052d5419792c777

Observation dbd55934-d027-4723-84f0-05f051136355 · inbound

A governance horizon for ethical-use constraints in open-weight AI models cites this paper.

A governance horizon for ethical-use constraints in open-weight AI models The Foundation Model Transparency Index

Reference 16

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T13:54:43.690730Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-30T13:54:17.456664Z digest=sha256:d018230deb39e160210eea0a588ff0d11794d01b5b1dd92f037ea334a871e9e1

Observation 4d614d0b-3932-4acf-ad7b-83c73011f4fd · inbound

Mind Your Tone: Does Tone Alter LLM Performance? cites this paper.

Mind Your Tone: Does Tone Alter LLM Performance? The Foundation Model Transparency Index

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:23:23.827117Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T12:19:51.838450Z digest=sha256:72266282530a330c195c74c42c410add006dda7459c335f2bb1f721ab1322544

Observation ae7348fb-6937-4343-8d1a-a663625c67a7 · inbound

M\"OVE: A Holistic LLM Benchmark for the German Public Sector cites this paper.

M\"OVE: A Holistic LLM Benchmark for the German Public Sector The Foundation Model Transparency Index

Reference 124

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T14:18:22.885369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T07:07:00.731337Z digest=sha256:cbd5f4d9e3a01d6e9fb165ec0f8894d6db6c24b13fe3724c52f04ddad0f28a24

Observation 72b90702-09b7-4b26-b0ca-b5eef73574b6 · inbound

Taxing Artificial Intelligence cites this paper.

Taxing Artificial Intelligence The Foundation Model Transparency Index

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-07-03T06:07:40.993902Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-07-03T06:02:00.131685Z digest=sha256:cbe35ab38883154df372105ab2a6d2769a2be19686eb7973f3304f8d029da864

Observation edaf0ad7-16e5-426c-b681-65d2e23d4ba2 · inbound

Macro-Prudential AI Governance: A Two-Layer Early Warning and Response System for Frontier AI cites this paper.

Macro-Prudential AI Governance: A Two-Layer Early Warning and Response System for Frontier AI The Foundation Model Transparency Index

Reference 8

Resolution
unresolved
no resolver link, observed 2026-07-12T01:45:06.581823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T01:45:06.581823Z digest=sha256:0701a63e376efa974b91f3c9521c6e2345ba69708439d900a29a89c3714c1743