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Paper Citation Record · LEDGER

Collaborative Editable Model

As of 8 August 2026, this Paper Citation Record lists 15 of 15 outbound references and 0 inbound Pith citation observations for arXiv:2506.14146.

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

pith.paper-citation-record.v1
2506.14146 v1

Coverage vector

measured 15 of 15 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:24:12.969305Z

measured 15 of 15 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

15 of 15 outbound references displayed

  • verified exact0
  • verified fuzzy1
  • unresolved14
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2b22ac79-1d82-4d4c-b0d9-84a3d5798a47 · outbound

This paper cites A survey of reinforcement learning from human feedback.

Collaborative Editable Model A survey of reinforcement learning from human feedback

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.923461Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.923461Z digest=sha256:a874eebd9dc194745bbf4fbad937def5028116724f906f50c5dd0925d1fcbbf3

Observation 814bb228-c1ca-452d-8f66-1a1340005871 · outbound

This paper cites Domain Generalization using Pretrained Models without Fine-tuning.

Collaborative Editable Model Domain Generalization using Pretrained Models without Fine-tuning

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.932909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.932909Z digest=sha256:ddd473c5e76044448f26f54c7a2e0395eeb23414dfcad4d9b7a31ae12ec1bb66

Observation 8e166a05-56f3-41e2-9ae0-e9f6c259bd0d · outbound

This paper cites HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation.

Collaborative Editable Model HealthGPT: A Medical Large Vision-Language Model for Unifying Comprehension and Generation via Heterogeneous Knowledge Adaptation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.937127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.937127Z digest=sha256:9171d8e137e8cc501425d7d1e9313a90151fb7f63a1e7a1ae04cf987cea0a455

Observation 6320300a-54d0-4c6a-9d65-58137d6f2a52 · outbound

This paper cites Towards scientific intelligence: A survey of llm-based scientific agents.arXiv preprint arXiv:2503.24047,.

Collaborative Editable Model Towards scientific intelligence: A survey of llm-based scientific agents.arXiv preprint arXiv:2503.24047,

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.945720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.945720Z digest=sha256:62ec3a75f7413b9689c3efef1562315b2c277cb96c8c9bfac941c4c2d7d9062b

Observation 9a1ee0da-0ed8-4edb-a4ac-6b193ac44ecb · outbound

This paper cites Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey.

Collaborative Editable Model Injecting Domain-Specific Knowledge into Large Language Models: A Comprehensive Survey

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.949425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.949425Z digest=sha256:7915e409c68fe184cadb4a138d6ef8d59c156ab6213512b2e3ecda4d7906051f

Observation a654120f-d7eb-4b88-a460-f3839d348823 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Collaborative Editable Model Gemini: A Family of Highly Capable Multimodal Models

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.952942Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.952942Z digest=sha256:6566bfaedbb079b38b9a6906db8c8ea0097c99a95522f9e6ce0c595943511ad9

Observation 9cb8b770-4ec3-439e-b703-02b98fe6f3c4 · outbound

This paper cites Precedent-enhanced legal judgment prediction with llm and domain-model collab- oration.

Collaborative Editable Model Precedent-enhanced legal judgment prediction with llm and domain-model collab- oration

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T00:24:13.346210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-08-07T00:24:12.957380Z digest=sha256:5a4cb8c57aaa850a5fca0a5172a4641d51e3ab7808ac7d0d3d2b5df0d43d6d01

Observation 21cc35ac-205a-40ea-bac0-fbbacfceb1c1 · outbound

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

Collaborative Editable Model On Protecting the Data Privacy of Large Language Models (LLMs): A Survey

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.960792Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.960792Z digest=sha256:76c9840a50d29382da0d67e2db18f07de3ee595ca0b571f0aa7dd671e0461164

Observation c951fbed-399d-4aea-9353-023fb92de5e1 · outbound

This paper cites When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method.

Collaborative Editable Model When Scaling Meets LLM Finetuning: The Effect of Data, Model and Finetuning Method

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.965494Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.965494Z digest=sha256:3c3b51f533933fc869509123a2929d0b60a7b9bd62a75c671c3938048a7e3d38

Observation 17023f33-19f5-40b5-b1c8-7013b4189e5b · outbound

This paper cites Fine-tuning Large Language Models for Domain-specific Machine Translation.

Collaborative Editable Model Fine-tuning Large Language Models for Domain-specific Machine Translation

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.969305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.969305Z digest=sha256:36899a486d8457cf8cdff107a37c49c19d8cecf67b037dc186e31466d516132d

Observation c90dfaf9-7314-43e4-902b-b16d313fe0be · outbound

This paper cites LegalAgentBench: Evaluating LLM Agents in Legal Domain.

Collaborative Editable Model LegalAgentBench: Evaluating LLM Agents in Legal Domain

Reference 2021

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.928087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.928087Z digest=sha256:72db8159253c2bd06f367ed7a63d71e90fee70f7566805c25d2f7d446073f994

Observation cddfd517-9ac4-4910-a2d7-25882bebf5e6 · outbound

This paper cites Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback.

Collaborative Editable Model Open Problems and Fundamental Limitations of Reinforcement Learning from Human Feedback

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.912770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.912770Z digest=sha256:df9e8a368fd2431be017f50fdb179304345d798df060dcba1a1d03a9e3e96c02

Observation 752d27f3-efd9-41c7-a89c-b6c81cc1d16a · outbound

This paper cites The Llama 3 Herd of Models.

Collaborative Editable Model The Llama 3 Herd of Models

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.920047Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.920047Z digest=sha256:d68af7f9a3fcd028a02c93dc698c4b4fe8e8e89289a62ba86020c0530c3ccdbc

Observation efc53251-3915-4c44-a77c-bd067565b1fc · outbound

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

Collaborative Editable Model Training a Helpful and Harmless Assistant with Reinforcement Learning from Human Feedback

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.908157Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.908157Z digest=sha256:7d69f83e5446f89c2004ad53385c378161259f27155e5fda77edc8224d41183c

Observation c3de1433-5cbb-496c-9270-d14f13636445 · outbound

This paper cites FinGPT: Democratizing Internet-scale Data for Financial Large Language Models.

Collaborative Editable Model FinGPT: Democratizing Internet-scale Data for Financial Large Language Models

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-07T00:24:12.941508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T00:24:12.941508Z digest=sha256:fea4cac4d659a51605fee8fad654e72d09759257711f03d0eb88d45bd5ccf922

Pith citing papers

No inbound Pith citation observations are available.