Paper Citation Record · LEDGER

Better Fine-Tuning by Reducing Representational Collapse

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2008.03156.

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

pith.paper-citation-record.v1
2008.03156 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:14:53.236155Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T17:40:00.672939Z

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 7639f963-bf00-4670-9164-f826a042eb2e · inbound

Agents Are All You Need for LLM Unlearning cites this paper.

Agents Are All You Need for LLM Unlearning Better Fine-Tuning by Reducing Representational Collapse

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T19:14:53.236155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fa7a76f-c4f9-474e-acf3-7f2ca6c87d3e · inbound

How Noise Benefits AI-generated Image Detection cites this paper.

How Noise Benefits AI-generated Image Detection Better Fine-Tuning by Reducing Representational Collapse

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-17T20:55:15.136697Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 559d6437-d8e9-4d57-adcd-dd29305c1b6c · inbound

Robust Policy Optimization to Prevent Catastrophic Forgetting cites this paper.

Robust Policy Optimization to Prevent Catastrophic Forgetting Better Fine-Tuning by Reducing Representational Collapse

Reference 2

Resolution: verified exact; arxiv_id, observed 2026-05-16T05:37:24.401469Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation f144d74a-e81f-4f82-9a02-6c33d05361f0 · inbound

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model cites this paper.

FrozenDrive: Zero-Shot Text-Guided Driving Scene Generation and Data Augmentation with Parameter-Free Frozen Diffusion Model Better Fine-Tuning by Reducing Representational Collapse

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T02:59:26.714276Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation d16c46db-7a46-45fd-8917-87f45c481af8 · inbound

Scaling Laws for Task-Specific LLM Distillation cites this paper.

Scaling Laws for Task-Specific LLM Distillation Better Fine-Tuning by Reducing Representational Collapse

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-07-04T17:40:00.674704Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.