Paper Citation Record · LEDGER

Revisiting Catastrophic Forgetting in Large Language Model Tuning

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.04836.

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

pith.paper-citation-record.v1
2406.04836 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:20:01.399991Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T09:37:41.599761Z

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 f38d6d3c-12ca-44f1-9aa6-febd0d802f9c · inbound

Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework cites this paper.

Being Strong Progressively! Enhancing Knowledge Distillation of Large Language Models through a Curriculum Learning Framework Revisiting Catastrophic Forgetting in Large Language Model Tuning

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-07T10:20:01.399991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b494f2a5-53da-49c1-af9b-08423fa3f2a5 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Revisiting Catastrophic Forgetting in Large Language Model Tuning

Reference 185

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:36.652473Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ee4a8779-c9c6-4974-ba2d-c76e963d555f · inbound

Collaborative Parameter Learning: Mitigating Forgetting via Parameter-Level Gradient Analysis cites this paper.

Collaborative Parameter Learning: Mitigating Forgetting via Parameter-Level Gradient Analysis Revisiting Catastrophic Forgetting in Large Language Model Tuning

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-16T09:37:41.602424Z

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 e063055f-031a-42f2-a220-ef6670685abc · inbound

Distillation Traps and Guards: A Calibration Knob for LLM Distillability cites this paper.

Distillation Traps and Guards: A Calibration Knob for LLM Distillability Revisiting Catastrophic Forgetting in Large Language Model Tuning

Reference 2

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T03:14:08.235752Z

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 2a6f7ae8-c26a-4940-869b-21eff90e51b3 · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs Revisiting Catastrophic Forgetting in Large Language Model Tuning

Reference 136

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:59.544707Z

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 0e5df6e1-9b21-40a4-8110-c5a5d235cbae · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning Revisiting Catastrophic Forgetting in Large Language Model Tuning

Reference 121

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:01:00.324007Z

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.