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Paper Citation Record · LEDGER

Collaborative Editable Model

As of 20 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 2026-08-20T06:33:59.587034+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=sha256:0c54096e2d9d4ca4b5de453cc7373da4919e9d2618a45f901141a4e75da4b157

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:d84699e9d88b2e7a51ceb31b463686f8ec9a60f46024b9bc170f8c0a70cd82f6

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=sha256:327b1a2e377f7ee64fda6ed87af27400dbf47bbab9fb311fd5e50911d3efef60

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=sha256:4e4406a4174ededb5e58b0e4b689f97335ae611f5b53a44a6584aa525698d014

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=sha256:3293601d8444ee6e39fdd1e09056ae509d9a6b4f0e8d21bbeb57392dc359f647

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=sha256:454bd36fbd24d3b99e76ba143c232bf9a3970e489b97a031aefbd121b9e4e128

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 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-07T00:24:12.957380Z digest=sha256:dc80526e3eafe164d0585553039f52ae4a541cfa0d3d660f4c64fb00b8502238

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=sha256:18dbb86e01aac05dac1f0de56c2605a041a7508686ecf388a7b3d8a42de8c49f

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=sha256:5dc5ff934912ce2071c4d15fa66c7f2921ab78108f57262ce16181f979346021

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=sha256:6ce1806e22063da964e32b228be4d513897d99cb3fc56206c29c65ab143d3541

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=sha256:02fd42200ec21d15e007c1372199a30b373fdb2c74ae102d9ccd94848a956371

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=sha256:4f2c844bf4683c9a23ca00dc6fa072f64e57b41e9dad0820de8a1870a6c74683

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:af490acf4422d32c8cb5bd5fae86accd8246a623840b0537d9c5d3b26c538427

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=sha256:70cd203fc0804c888d889d704febb91a749ddc91ef327b6f62f733a173c46435

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=sha256:4e20706980ae0425ae8a16e8ec84cc7fe22603a97682a2bd31688b0e9392a073

Pith citing papers

No inbound Pith citation observations are available.