Pith. sign in

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 2026-08-09T06:31:02.800959+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

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=sha256:526038eedb57d318f12e72e6a2d57f53d59bfc3ed778d60e17c58c8dec9426b2

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=sha256:61dfd8b98d9dc3306118e534e54f3049e58f9235720883b0503424b8f13ffb71

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:f8b6bc61d8d883c91bcaca0fc764347352e2699cd6138f632070422e6fd9b2c7

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=sha256:660839f45fa180a116e51b1bed0fee7a00455b548884a821e51234ca8b35388d

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=sha256:01c6dd2a10bec39d3fb98e5fcff98a66327d38d381c69a1aefa7a98273c585fd

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

source=arxiv_source observed=2026-08-06T15:22:16.229804Z digest=sha256:c51f871e5bc570c56f81ed22b542ee52b0a0af5fa8167bfd0f3c3b1b6687f88f

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

source=arxiv_source observed=2026-08-06T15:22:16.306722Z digest=sha256:c72b71bdce203c4cba5f850f6de1d345705ca52376b86e4c6e8febb96e9dd0f8

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=sha256:29eef335c8b3302230e51378ead811112d99fdca43e5da0d466803fa1de5b36a

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

source=arxiv_source observed=2026-08-06T15:22:16.439752Z digest=sha256:0c51fd170e8fde5c35d2981207481c8c1eab7fed6d1a3d606be67e9d2f3be31c

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:cbb96075fdc1a637be8a285eedc4b6008fa7e0968814242c4d4450c82f4d1891

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

source=arxiv_source observed=2026-08-06T15:22:16.552963Z digest=sha256:20974558ed453074fbc5b69a20fd7b4afef43b4a62804c3a35046151d233f13f

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

source=arxiv_source observed=2026-08-06T15:22:16.624447Z digest=sha256:fc58f960ec21d71e2a52de72eef8f50f737a71c202b4cdeba49f256614cc4297

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=sha256:65c8bc81b9886d3ee6ff65dec010877c1ed2c22b191b381f5ff6a7196ac8c81c

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=sha256:682d4b7b7d9f764bfe333487ad46e2f4441524752b7b38c5d17df9696a4aa6fd

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:b1455208f65d32f9b6adddaca03bac2e92c77c4999ca8f484f403b2073da9dac

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=sha256:0744799db8ca227047c09a47ed225824962bc1bb1a1c19a2a0191367c0e3184f

Pith citing papers

No inbound Pith citation observations are available.