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Paper Citation Record · LEDGER

SafeLawBench: Towards Safe Alignment of Large Language Models

As of 9 August 2026, this Paper Citation Record lists 23 of 23 outbound references and 1 inbound Pith citation observation for arXiv:2506.06636.

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

pith.paper-citation-record.v1
2506.06636 v1

Coverage vector

measured 23 of 23 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:58:36.323279Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-09T20:00:56.184891Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T15:26:09.455583Z

Reference resolution

23 of 23 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved15
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation afeba021-fc2e-4b1c-a161-2b3a3d480fef · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 1

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:41.087948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:33.734284Z digest=sha256:ddd02057bcb80abb22967c1fae5ea5bd593b5118e89e4af10d77c9d75659ddfc

Observation 870fc60f-ec48-4a53-bfea-aacbddc68ceb · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 2

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:40.781807Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:33.871004Z digest=sha256:b526afdf9b242194f5a3f7299346729771be956dcacc522393fc8c1301744523

Observation 92ccc544-bc9f-42f6-89d2-cec5c68093bf · outbound

This paper cites AI Governance and Accountability: An Analysis of Anthropic's Claude.

SafeLawBench: Towards Safe Alignment of Large Language Models AI Governance and Accountability: An Analysis of Anthropic's Claude

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:33.474557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:33.474557Z digest=sha256:23684f48240edde00bfa5a686aa9f894d3b6f23dde981c2159da33c4ad8b7e25

Observation 74e964ae-f67f-4ba5-9591-77f4f9ba075d · outbound

This paper cites On Protecting the Data Privacy of Large Language Models (LLMs): A Survey.

SafeLawBench: Towards Safe Alignment of Large Language Models On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:33.602364Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:33.602364Z digest=sha256:42c4de3f89a5b0841df60c5271ff9e937f740977e34b2c132027417d0217c3f5

Observation 5614c5bb-a1d0-43b4-a480-55aad7e96e15 · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 5

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:40.168754Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:34.288985Z digest=sha256:5e6885fe608b271fdd86cd4671af0703cb1d872a3be988ff93e08c153f0239c4

Observation c975ea8f-509e-44fb-9256-cbfc18cda215 · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:40.578530Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:34.042606Z digest=sha256:c15a3be9fd3354abada25b0c8926065f93f8108c03096527b80f23dd5745c6cf

Observation e897450e-728a-4fdc-ba7b-1eeb9aeca023 · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 8

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:40.382007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:34.164049Z digest=sha256:e6901c70ad2a331d294ade952545e24ab37b8ae39c93ff3c802a91962734061b

Observation bf251899-c38f-4c1c-958d-7dc0b13acb27 · outbound

This paper cites con- tacting the police.

SafeLawBench: Towards Safe Alignment of Large Language Models con- tacting the police

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:39.948313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:34.441652Z digest=sha256:d31f3791962e8537aabf0aec4e7899bf9c879d89b1c3d5c1d7de7a789680e3a9

Observation 04d9a213-48f4-459c-8ef5-f206375a1b01 · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 11

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:39.719103Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:34.633036Z digest=sha256:9d3d05e19abe11836711087425d7031c8011aca74eb994d1048773095bd81830

Observation 7c654498-afca-4451-be42-c40c509a6aa0 · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:39.488437Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:34.809474Z digest=sha256:ef8245007e5ecbb48f0425dd26751d40b2a18bed3468092b72387243adb8c68f

Observation 9ae780f3-b919-4c0e-9321-f2d965c914dc · outbound

This paper cites model1.

SafeLawBench: Towards Safe Alignment of Large Language Models model1

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:39.265297Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:34.933548Z digest=sha256:9fb32ad63014d7100f85894b2c31f114f43c87541cf0c58d7a254d9d57116b9d

Observation 85d31452-1247-4589-bd8a-98bf265dcdd1 · outbound

This paper cites Incorrect options should be plausible and grounded in real legal practice.

SafeLawBench: Towards Safe Alignment of Large Language Models Incorrect options should be plausible and grounded in real legal practice

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:38.722619Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:35.217108Z digest=sha256:8e84b662244da5466250a431e9278ee94363835817884555a05fe550789f6d67

Observation f90321c4-44cf-4e8c-a43a-22f44a184406 · outbound

This paper cites id ": 1 ,.

SafeLawBench: Towards Safe Alignment of Large Language Models id ": 1 ,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:38.438636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:35.365347Z digest=sha256:211ab2fb29ba89fe9cc4f5a3efe47ce6236d87f3793634bc0dda43f0f1c6796e

Observation 78079f99-b92e-49d2-887f-b7aa90258853 · outbound

This paper cites Subtle distinctions between options.

SafeLawBench: Towards Safe Alignment of Large Language Models Subtle distinctions between options

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:38.992796Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:35.468602Z digest=sha256:f98c09d880d2926abcbac3cf30ee0275acdaed7d44209fe47b41bd52eefa6708

Observation 9ffdc8cf-3180-4585-8f69-fa6a6a04a427 · outbound

This paper cites Incorrect options should be plausible.

SafeLawBench: Towards Safe Alignment of Large Language Models Incorrect options should be plausible

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:38.220093Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:35.566287Z digest=sha256:d5a11b037f5401345c225f90daa0b0c37db9b6f11c9e9a20fd8f8d074500b9aa

Observation b41a40f5-7dd0-4626-b934-e1f7a7add397 · outbound

This paper cites id ": 1 ,.

SafeLawBench: Towards Safe Alignment of Large Language Models id ": 1 ,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:37.928166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:35.684323Z digest=sha256:464ab4c3487353acbefa22208008afab78425d4220030a89c021d3057e6589ab

Observation b50ded9d-10f7-4b6b-ac19-131f20dd0b41 · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 20

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:37.580704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:35.793753Z digest=sha256:0368f61d833488b2d506a1ee43723fd297763a010316ae002f331fc58f146f43

Observation a8bc1590-487c-46b1-a3c5-8b35087f4517 · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 21

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:37.330381Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:35.941446Z digest=sha256:650c5deaa7a36c88969b27c4393df8a3f29999abab8f82d397dbf4470bc4e521

Observation ccef9958-cc1a-4514-ab5e-a0a498ea354d · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 22

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:37.135661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:36.050302Z digest=sha256:6cd62a9a5ab1c45d2f945afdb7411cefa574addf44055e860fc4f40361cdb231

Observation 48f7a2e5-d754-4bba-b2c8-68cdc7f12d5f · outbound

This paper cites an unresolved cited work.

SafeLawBench: Towards Safe Alignment of Large Language Models Unresolved cited work

Reference 23

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:58:36.908991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:36.216616Z digest=sha256:2c171fcd2242d793f0518797fee3743a21258670b4cea014164b382690d82e8d

Observation abe1cefc-6842-48bb-8691-0b826c346fee · outbound

This paper cites unfair contract terms .\.

SafeLawBench: Towards Safe Alignment of Large Language Models unfair contract terms .\

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:58:36.639137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T05:58:36.323279Z digest=sha256:3c0bca4e81559e6cc194a830e823eff68f75a5131a299a78b3a4c6a3b44c941a

Observation 148536d0-7a90-4eaf-adaa-de28fcb6e457 · outbound

This paper cites Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback.

SafeLawBench: Towards Safe Alignment of Large Language Models Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:33.273946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:33.273946Z digest=sha256:678411c9a9e85c8f5d7742b4da799c49a938fc9a313e8b0d68f9f3bebe4a37ee

Observation fc3ab796-4e4e-44a7-b256-8bf2fd4c0545 · outbound

This paper cites ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools.

SafeLawBench: Towards Safe Alignment of Large Language Models ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T05:58:33.367046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:58:33.367046Z digest=sha256:25b990d434768fecdcb98b2af991eafd984380e4c1d21d86f8dd7c1accb14950

Pith citing papers

Observation 940f0b69-13ec-43af-ad65-fd68529946b0 · inbound

ARMOR 2025: A Military-Aligned Benchmark for Evaluating Large Language Model Safety Beyond Civilian Contexts cites this paper.

ARMOR 2025: A Military-Aligned Benchmark for Evaluating Large Language Model Safety Beyond Civilian Contexts SafeLawBench: Towards Safe Alignment of Large Language Models

Reference 18

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:26:09.459597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T20:00:56.184891Z digest=sha256:17ac555614e71861e66cbe1f8abe9aee4ef0d66a34c0c55d5f4e74927f3331c9