Paper Citation Record · LEDGER

Soft Self-Consistency Improves Language Model Agents

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2402.13212.

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

pith.paper-citation-record.v1
2402.13212 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:44:35.719367Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T16:46:06.268676Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f134ede9-2208-40fd-9818-f9904e380b0e · inbound

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation cites this paper.

AUTOLAW: Enhancing Legal Compliance in Large Language Models via Case Law Generation and Jury-Inspired Deliberation Soft Self-Consistency Improves Language Model Agents

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-07T15:44:35.719367Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 96f0b02a-f7f1-4ede-9b2f-ce9a354fa37a · inbound

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges cites this paper.

Alignment and Safety in Large Language Models: Safety Mechanisms, Training Paradigms, and Emerging Challenges Soft Self-Consistency Improves Language Model Agents

Reference 292

Resolution: unresolved; no resolver link, observed 2026-08-06T14:13:07.324228Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7c00b866-9837-4fad-bcfb-429c33384592 · inbound

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model cites this paper.

VLA-ATTC: Adaptive Test-Time Compute for VLA Models with Relative Action Critic Model Soft Self-Consistency Improves Language Model Agents

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-11T16:46:06.272337Z

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.

Observation 0cb07464-53ed-4353-8d2f-2e15eda060cb · inbound

VecFontLLM: Anchor-Guided Direct Synthesis of Chinese Vector Fonts cites this paper.

VecFontLLM: Anchor-Guided Direct Synthesis of Chinese Vector Fonts Soft Self-Consistency Improves Language Model Agents

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T18:40:02.776309Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.