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Paper Citation Record · LEDGER

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss

As of 9 August 2026, this Paper Citation Record lists 16 of 16 outbound references and 0 inbound Pith citation observations for arXiv:2507.16263.

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

pith.paper-citation-record.v1
2507.16263 v1

Coverage vector

measured 16 of 16 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:22:16.937583Z

measured 16 of 16 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 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

16 of 16 outbound references displayed

  • verified exact2
  • verified fuzzy1
  • unresolved13
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1e3c9a78-8260-4f2e-887c-2967a7bee3af · outbound

This paper cites Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Opt-Out: Investigating Entity-Level Unlearning for Large Language Models via Optimal Transport

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:15.942541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:15.942541Z digest=sha256:68b5d25643c524e5ef22946d933424b05753b93e9dcc2448d6fcf664d4844d71

Observation 924c70f7-15f7-4cb5-b7c1-90ba9296654a · outbound

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

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Who's Harry Potter? Approximate Unlearning in LLMs

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:15.992489Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:15.992489Z digest=sha256:90eb21bdbc181aff7161376d1044ea3d0bb8e407acd443737696c9e03d7616cb

Observation eacfe496-92fb-4b43-961b-d27db6fe1162 · outbound

This paper cites OLMo: Accelerating the Science of Language Models.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss OLMo: Accelerating the Science of Language Models

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:16.073079Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:16.073079Z digest=sha256:085f776ef654239764f718da22f54634752a157c5249a937a92e37662a19561e

Observation e3bb4c19-f396-4c54-8cc2-efc2a2d6ba5a · outbound

This paper cites an unresolved cited work.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Unresolved cited work

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:16.122924Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:16.122924Z digest=sha256:be8f23b5ea2fd160cc9cd000acb98f23de2a59ef964f4bddb4b784c0ee33ab1e

Observation 9764a55b-5c7a-4308-9102-f43060b8dcce · outbound

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

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Knowledge Unlearning for Mitigating Privacy Risks in Language Models

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:16.163144Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:16.163144Z digest=sha256:5731c46b7a430f60033150b2afbdac45eae039a2182a722553b2bc1170879d15

Observation 770f1414-c96a-452b-9180-765157e04d85 · outbound

This paper cites an unresolved cited work.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Unresolved cited work

Reference 6

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:22:17.735946Z

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.

source=arxiv_source observed=2026-08-06T15:22:16.229804Z digest=sha256:45779976f3d04b8826ca3f56ad2687d896ac6b1007dc61b354be46b235f4bead

Observation 021143ef-980a-432f-a489-3d8c7fa60b10 · outbound

This paper cites Lipton, and J.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Lipton, and J

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-06T15:22:17.572917Z

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.

source=arxiv_source observed=2026-08-06T15:22:16.306722Z digest=sha256:67884984181e31d52291a13dadba4aa301afed27002eb51985fcfa84fb04a8a8

Observation 8406dc45-0888-46f7-ab6a-9a0abd3c52ec · outbound

This paper cites Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Alternate Preference Optimization for Unlearning Factual Knowledge in Large Language Models

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:16.370945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:16.370945Z digest=sha256:fba582dba1157cb126fce51681ffac83612413a3f7e7873b5a6c3a6048d0f6c1

Observation 5fbcfcb5-64c9-4d11-8e22-19b16a7219d6 · outbound

This paper cites Learn to Unlearn: A Survey on Machine Unlearning.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Learn to Unlearn: A Survey on Machine Unlearning

Reference 9

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:22:17.208145Z

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.

source=arxiv_source observed=2026-08-06T15:22:16.439752Z digest=sha256:1ff07c82d4a0fe0d187d7885a849ccd9e55378eeb2b699e3b8522dc8795e18c6

Observation 0d189b23-8856-46b7-88f3-a5cc8eee5655 · outbound

This paper cites LUME: LLM Unlearning with Multitask Evaluations.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss LUME: LLM Unlearning with Multitask Evaluations

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:16.505947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:16.505947Z digest=sha256:52f04c8ad0b92f8ec2a02e622ec822fc81993e0549a7bdb97d6ec0993b049e84

Observation e4ac9970-5d7a-47ea-9c01-19ba07f2d607 · outbound

This paper cites SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss SemEval-2025 Task 4: Unlearning sensitive content from Large Language Models

Reference 11

Resolution
verified exact
local_arxiv, observed 2026-08-06T15:22:17.075301Z

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.

source=arxiv_source observed=2026-08-06T15:22:16.552963Z digest=sha256:5c6fee635f1b1de434d8157a8e343ae3c827cca1902938a671931004f9f59342

Observation a18efb17-8156-4345-9626-5074c9394b73 · outbound

This paper cites an unresolved cited work.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Unresolved cited work

Reference 12

Resolution
unresolved
raw_fallback, observed 2026-08-06T15:22:17.414655Z

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.

source=arxiv_source observed=2026-08-06T15:22:16.624447Z digest=sha256:3aec3b189931b529049dfd86805c0c98ef2240c1afd6b6a0341eaf977433ac83

Observation e8aaf523-622f-49d6-ba67-d1f4c285be73 · outbound

This paper cites LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss LLM Surgery: Efficient Knowledge Unlearning and Editing in Large Language Models

Reference 13

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:16.694024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:16.694024Z digest=sha256:a97476c4a7447c52be3be71f62e15475f2b2b50a0651a0b7f28f29cd77732884

Observation 90ffcc13-1133-45c4-bf7f-019869e19952 · outbound

This paper cites Machine Unlearning: A Comprehensive Survey.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss Machine Unlearning: A Comprehensive Survey

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:16.801374Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:16.801374Z digest=sha256:2c161dc857162b6f5adb8f6fdf54ac3a47262f7374b5628edd6fd1c476d944b4

Observation 10d5882e-511c-4a86-b82d-a8753f241b4f · outbound

This paper cites online" 'onlinestring :=.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss online" 'onlinestring :=

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:16.841823Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:16.841823Z digest=sha256:baf9adbd51922395d94898b19ff537e4f4e2b919714f435e676c7f7fd665ae34

Observation d28b9dd0-3ae8-4940-8cde-e315d2fc7a3c · outbound

This paper cites write newline.

iShumei-Chinchunmei at SemEval-2025 Task 4: A balanced forgetting and retention multi-task framework using effective unlearning loss write newline

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-06T15:22:16.937583Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T15:22:16.937583Z digest=sha256:984e101912296579bbe1511b0861968f2bfe7a0ac4f09f9673a2c43d4cf0d26c

Pith citing papers

No inbound Pith citation observations are available.