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Paper Citation Record · LEDGER

Language Models that Think, Chat Better

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2509.20357.

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

pith.paper-citation-record.v1
2509.20357 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-01T01:13:13.329619Z

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

0
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 98ccfcce-41d7-4632-acc8-ffe15a349367 · inbound

A Survey of Reinforcement Learning for Large Reasoning Models cites this paper.

A Survey of Reinforcement Learning for Large Reasoning Models Language Models that Think, Chat Better

Reference 36

Resolution
verified exact
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-05-18T00:02:24.352947Z digest=sha256:47b4411470e9cc0252be46a55385de293709ac09a7df93efa6f40cd38ce3432b

Observation e3769ba7-2e51-41fe-9a9d-db38190c9f93 · inbound

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis cites this paper.

Learning to Pose Problems: Reasoning-Driven and Solver-Adaptive Data Synthesis Language Models that Think, Chat Better

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-17T22:59:48.260121Z digest=sha256:1d4679eba1f2dc2c682d4d54df512ee59a4ad992596fb542ae1ac6ab792492ca

Observation 67c5f086-2392-481f-9936-c73202b9170d · inbound

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy cites this paper.

Alternating Reinforcement Learning with Contextual Rubric Rewards: Beyond the Scalarization Strategy Language Models that Think, Chat Better

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-15T17:08:23.269275Z digest=sha256:9009c9e414c3a6d5604563ca81b6e8b84685d9061e85e3c1696414ffeb6e1ec8

Observation a589ca64-2c63-4b47-ae6e-637a78f008eb · inbound

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions cites this paper.

SUPERNOVA: Eliciting General Reasoning in LLMs with Reinforcement Learning on Natural Instructions Language Models that Think, Chat Better

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-05-10T17:16:29.695213Z digest=sha256:3fbc414bddcdf7eab4d434f9971e2c075d3360b2083b86fc694a244fd1050166

Observation 74af8204-2fa4-4a52-b14d-0f8b2908afa6 · inbound

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts cites this paper.

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts Language Models that Think, Chat Better

Reference 37

Resolution
metadata mismatch
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T19:01:14.340754Z digest=sha256:ac6d3d7e5561a44df351947ed39accb4b62589daf2d356f831be177274d98ca8

Observation fd9b56e7-cd87-4440-bbe6-e2af9be40c77 · inbound

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts cites this paper.

CARE-RL: Capability-Aware Reinforcement Learning for Mitigating Cross-Domain Conflicts Language Models that Think, Chat Better

Reference 53

Resolution
verified exact
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-06-28T19:01:14.340754Z digest=sha256:aa3e52e2f1b4171b05cc42c1c050f8ef913752e61f3cfeb8c476591eb2b536b3

Observation 9bb049ef-a430-474c-8ed1-e0ac8aae0fa2 · inbound

Wait, am I Being Fair? Characterizing Deductive Stereotyping and Mitigating It with Fair-GCG cites this paper.

Wait, am I Being Fair? Characterizing Deductive Stereotyping and Mitigating It with Fair-GCG Language Models that Think, Chat Better

Reference 96

Resolution
metadata mismatch
arxiv_id, observed 2026-08-18T02:13:17.770014Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=arxiv_source observed=2026-07-01T01:13:13.329619Z digest=sha256:838ba2fd659822f211f6390dad749a2f04426e833aaacf96c91951c84eaaa078