Paper Citation Record · LEDGER

LLM Unlearning Should Be Form-Independent

As of 17 August 2026, this Paper Citation Record lists 44 of 44 outbound references and 1 inbound Pith citation observation for arXiv:2506.07795.

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

pith.paper-citation-record.v1
2506.07795 v1

Coverage vector

measured 44 of 44 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:33:38.125799Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-10T18:39:54.728106Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T00:10:52.199642Z

Reference resolution

44 of 44 outbound references displayed

verified exact1
verified fuzzy17
unresolved26
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 12a73e45-0df2-4919-805a-ac372d921b4d · outbound

This paper cites Gpt-4 technical report,.

LLM Unlearning Should Be Form-Independent Gpt-4 technical report,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:43.361585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6afe8de4-66cf-4d34-a67b-eb8cd98796a5 · outbound

This paper cites A Survey of Large Language Models.

LLM Unlearning Should Be Form-Independent A Survey of Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:32.971302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48b0fe37-4bf1-461c-902a-06f854a8f504 · outbound

This paper cites Machine Unlearning of Pre-trained Large Language Models.

LLM Unlearning Should Be Form-Independent Machine Unlearning of Pre-trained Large Language Models

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:33.064947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54f8dd10-a0a8-4114-aedf-946b6c1ab7b6 · outbound

This paper cites Towards making systems forget with machine unlearning,.

LLM Unlearning Should Be Form-Independent Towards making systems forget with machine unlearning,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:43.033573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 99ad6a54-a033-4754-88df-451a54ab7851 · outbound

This paper cites Rethinking Machine Unlearning for Large Language Models.

LLM Unlearning Should Be Form-Independent Rethinking Machine Unlearning for Large Language Models

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:33.172811Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3af76b58-f89e-42d3-a650-ec41e7133e75 · outbound

This paper cites KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment.

LLM Unlearning Should Be Form-Independent KGA: A General Machine Unlearning Framework Based on Knowledge Gap Alignment

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:33.339776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c2bc94c4-c38a-4dad-aac4-0c14327d6dfa · outbound

This paper cites Who's Harry Potter? Approximate Unlearning in LLMs.

LLM Unlearning Should Be Form-Independent Who's Harry Potter? Approximate Unlearning in LLMs

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:33.480384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 17216333-6338-41d6-b3ca-e3a42ffbbbc2 · outbound

This paper cites Towards Safer Large Language Models through Machine Unlearning.

LLM Unlearning Should Be Form-Independent Towards Safer Large Language Models through Machine Unlearning

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:33.583483Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1dc746a0-1e94-471d-9940-93af158c38f1 · outbound

This paper cites Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions.

LLM Unlearning Should Be Form-Independent Right to be Forgotten in the Era of Large Language Models: Implications, Challenges, and Solutions

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:33.728813Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7aa01d1d-e572-4c77-89b7-9adc5ee19582 · outbound

This paper cites UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets.

LLM Unlearning Should Be Form-Independent UIPE: Enhancing LLM Unlearning by Removing Knowledge Related to Forgetting Targets

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T05:33:38.874323Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 466abe6c-032d-449b-9502-6c610e096556 · outbound

This paper cites RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models.

LLM Unlearning Should Be Form-Independent RWKU: Benchmarking Real-World Knowledge Unlearning for Large Language Models

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:34.030285Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a5b9e8f-eaab-4535-89f0-7c421d73f400 · outbound

This paper cites Direct preference optimization: Your language model is secretly a reward model,.

LLM Unlearning Should Be Form-Independent Direct preference optimization: Your language model is secretly a reward model,

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:34.205860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9097410d-9a65-4610-9550-810aa94f0509 · outbound

This paper cites Knowledge Unlearning for Mitigating Privacy Risks in Language Models.

LLM Unlearning Should Be Form-Independent Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:34.304749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 920f4431-5dec-4fa6-8d95-907d50a945d9 · outbound

This paper cites Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning.

LLM Unlearning Should Be Form-Independent Negative Preference Optimization: From Catastrophic Collapse to Effective Unlearning

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:34.435534Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a5be0159-172e-43c7-bad8-78f9b0ea7616 · outbound

This paper cites Posi- tion: Llm unlearning benchmarks are weak measures of progress,.

LLM Unlearning Should Be Form-Independent Posi- tion: Llm unlearning benchmarks are weak measures of progress,

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:42.830142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2781febf-fda4-4eb4-bcc0-edcda9f96fee · outbound

This paper cites Eight Methods to Evaluate Robust Unlearning in LLMs.

LLM Unlearning Should Be Form-Independent Eight Methods to Evaluate Robust Unlearning in LLMs

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:34.723226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d24048b2-12c7-42c5-9e2d-d4380c57cad5 · outbound

This paper cites UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI.

LLM Unlearning Should Be Form-Independent UnUnlearning: Unlearning is not sufficient for content regulation in advanced generative AI

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:34.794058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10835645-804d-40bb-b66f-360007071154 · outbound

This paper cites The Llama 3 Herd of Models.

LLM Unlearning Should Be Form-Independent The Llama 3 Herd of Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:34.942530Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f981370f-b9ba-418d-ab23-1575e6498304 · outbound

This paper cites Attention is all you need,.

LLM Unlearning Should Be Form-Independent Attention is all you need,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:35.048121Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75c53b2c-83ad-4309-8711-539d4a8321a8 · outbound

This paper cites Locating and editing factual associations in gpt,.

LLM Unlearning Should Be Form-Independent Locating and editing factual associations in gpt,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:42.624672Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 91cdf6c8-4e8b-4ee3-bb68-c4f044edabf0 · outbound

This paper cites Open Problems in Machine Unlearning for AI Safety.

LLM Unlearning Should Be Form-Independent Open Problems in Machine Unlearning for AI Safety

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:35.279841Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7515cc1a-c3f5-4783-8e11-d4618ebe8263 · outbound

This paper cites A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models.

LLM Unlearning Should Be Form-Independent A Comprehensive Survey of Machine Unlearning Techniques for Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:35.407298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 46921e51-4573-43a6-9983-67eca6f616ed · outbound

This paper cites TOFU: A Task of Fictitious Unlearning for LLMs.

LLM Unlearning Should Be Form-Independent TOFU: A Task of Fictitious Unlearning for LLMs

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:35.517910Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5f1f0be-101b-480c-9a13-f74ca3e32458 · outbound

This paper cites Measuring massive multitask language understanding,.

LLM Unlearning Should Be Form-Independent Measuring massive multitask language understanding,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:42.370238Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 455315b4-eff1-4af2-9cff-524a8bc16797 · outbound

This paper cites TruthfulQA: Measuring how models mimic human falsehoods,.

LLM Unlearning Should Be Form-Independent TruthfulQA: Measuring how models mimic human falsehoods,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:42.136949Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 070cfd07-9828-4456-b863-c4da72fd9df3 · outbound

This paper cites TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension,.

LLM Unlearning Should Be Form-Independent TriviaQA: A large scale distantly supervised challenge dataset for reading comprehension,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:41.810206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4d259554-f334-45b1-b3c5-f00e3dd9f14e · outbound

This paper cites Alpacaeval: An automatic evaluator of instruction-following models,.

LLM Unlearning Should Be Form-Independent Alpacaeval: An automatic evaluator of instruction-following models,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:41.545759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dbf8df7e-d6a6-485a-aba6-0c2a9faa06f8 · outbound

This paper cites Dissecting recall of factual associations in auto-regressive language models,.

LLM Unlearning Should Be Form-Independent Dissecting recall of factual associations in auto-regressive language models,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:41.360577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 26281874-de18-4907-8a22-998752f2180d · outbound

This paper cites Mass-editing memory in a transformer,.

LLM Unlearning Should Be Form-Independent Mass-editing memory in a transformer,

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:41.034471Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3d4d0137-9825-4dbb-972d-1f44f7ee5666 · outbound

This paper cites Knowledge graph enhanced large language model editing,.

LLM Unlearning Should Be Form-Independent Knowledge graph enhanced large language model editing,

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:40.810081Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6c17274d-3af8-4faf-90cd-6e8245835e5a · outbound

This paper cites Uncovering overfitting in large language model editing,.

LLM Unlearning Should Be Form-Independent Uncovering overfitting in large language model editing,

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:40.547661Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e2b69a90-7ab6-4186-9319-bbbd8df45271 · outbound

This paper cites Disentangling knowledge representations for large language model editing,.

LLM Unlearning Should Be Form-Independent Disentangling knowledge representations for large language model editing,

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:36.601411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9386550-2245-47d4-9361-b73e391ee20f · outbound

This paper cites Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing.

LLM Unlearning Should Be Form-Independent Enhancing Multi-hop Reasoning through Knowledge Erasure in Large Language Model Editing

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:36.761894Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 51b1074d-96f5-4b4c-bf15-653302cac37e · outbound

This paper cites Metaformer is actually what you need for vision,.

LLM Unlearning Should Be Form-Independent Metaformer is actually what you need for vision,

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:40.289224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 254c9e2a-f95c-459d-ad5b-d30d119ef012 · outbound

This paper cites Transformer feed-forward layers are key-value memories,.

LLM Unlearning Should Be Form-Independent Transformer feed-forward layers are key-value memories,

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:39.998525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3a8b7f6d-6b6d-45b3-971c-9a9f5c355613 · outbound

This paper cites A Comprehensive Study of Knowledge Editing for Large Language Models.

LLM Unlearning Should Be Form-Independent A Comprehensive Study of Knowledge Editing for Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:37.096369Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdf9b1fc-1c8f-45b0-b507-2c616b95cf14 · outbound

This paper cites Alphaedit: Null-space constrained model editing for language models,.

LLM Unlearning Should Be Form-Independent Alphaedit: Null-space constrained model editing for language models,

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:39.726236Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 76fbcd0c-3672-42ce-b8cd-895a4e53e6cb · outbound

This paper cites Large Language Model Unlearning.

LLM Unlearning Should Be Form-Independent Large Language Model Unlearning

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:37.387359Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 452367a0-49af-4473-98e3-034eea5d8ae7 · outbound

This paper cites On effects of steering latent representation for large language model unlearning,.

LLM Unlearning Should Be Form-Independent On effects of steering latent representation for large language model unlearning,

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:39.492073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 04637071-c935-43d0-bf52-7c5ce1e18b3b · outbound

This paper cites Lunar: Llm unlearning via neural activation redirection,.

LLM Unlearning Should Be Form-Independent Lunar: Llm unlearning via neural activation redirection,

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:37.764756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdd2f571-1153-49c8-9653-251d8573bd85 · outbound

This paper cites The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning.

LLM Unlearning Should Be Form-Independent The WMDP Benchmark: Measuring and Reducing Malicious Use With Unlearning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:37.878756Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f95ffdf-d5b7-41d7-a272-ec7ff84e6c92 · outbound

This paper cites MUSE: Machine Unlearning Six-Way Evaluation for Language Models.

LLM Unlearning Should Be Form-Independent MUSE: Machine Unlearning Six-Way Evaluation for Language Models

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:37.986810Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 118f8ea2-748b-4d86-8f9d-28991d643d4d · outbound

This paper cites LoRA: Low-rank adaptation of large language models,.

LLM Unlearning Should Be Form-Independent LoRA: Low-rank adaptation of large language models,

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T05:33:39.200652Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8433fff0-1402-4309-9e85-3d37f323c16d · outbound

This paper cites On Effects of Steering Latent Representation for Large Language Model Unlearning.

LLM Unlearning Should Be Form-Independent On Effects of Steering Latent Representation for Large Language Model Unlearning

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-07T05:33:37.691312Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 02990404-f136-412f-9ed3-b81a4b16005e · inbound

Exclusive Unlearning cites this paper.

Exclusive Unlearning LLM Unlearning Should Be Form-Independent

Reference 17

Resolution: verified exact; arxiv_id, observed 2026-05-11T00:10:52.202100Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.