Pith. sign in

Paper Citation Record · LEDGER

Collaborative Editable Model

As of 9 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 2026-08-09T06:31:02.800959+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=sha256:8d46db8c6b2b3f9faf9b741e346282e8e9581d8c38c99c4e6f51c88f61fc416a

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=sha256:28d3cd8df6537470ed27751c34b9fa45b42ea3e48444d09cc1f72fc775d641c8

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=sha256:3b53aecd65dbf3600d1764135614815cbfcd603cfbc3bacee131de1b7184bb30

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=sha256:9e48d4b778f4d1936459f5f71ad9f8afad50db05e6c3a626917f02c5bec6d784

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=sha256:3728810bb6551148c9267c48c987f893358566b484f5687c2c5d6b5bbdd666b9

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:eebc3581e212fe4b11b6777c7ffee7933f6d9c7163f36aefadfdfb9001f20fa3

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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-08-07T00:24:12.957380Z digest=sha256:e18be74eafea525dc05d50b06440fc5623fdb4e80661a5a7a2b24acf4e233520

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=sha256:1ccb14c1d9e4173f832664602ee10cf5b5985e53ab1817c860c7e59ec6f15bb3

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=sha256:78ff76387e1e4aed394451aab2d75200ca12582a6a25fd0e3d59c44dcd409a70

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=sha256:8723eddc85dcb5eb6a7a908a8437120fbaa69cba45d4f8c8515cb8031f7d0c4f

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=sha256:847db2f44baae4ea8b2fc8689bbdae1309ad7588e115a2bb50d6143e4df85311

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=sha256:3b0cda5f56f4e222babcb77877ea5daba02b8a400a9644f8427837030f5bce12

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:b695fe354db1b4a40c179af35bff0c7ba01a4fe53864198f0935533c192a5644

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=sha256:09cec963afc0be5475ab97c155a48ac380d1a77a4a1514140491954a387e7594

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=sha256:34bf88e7e7704e8cfe0b92d954f031d5753fce22c5856916ca6c69e782e65864

Pith citing papers

No inbound Pith citation observations are available.