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Paper Citation Record · LEDGER

If Influence Functions are the Answer, Then What is the Question?

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2209.05364.

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

pith.paper-citation-record.v1
2209.05364 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 2026-08-23T06:30:58.430688+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:08:46.961415Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

12
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ee389c49-dbd0-4681-b0be-9f1cce0d2fdc · inbound

Precision Profile Pollution Attack on Sequential Recommenders via Influence Function cites this paper.

Precision Profile Pollution Attack on Sequential Recommenders via Influence Function If Influence Functions are the Answer, Then What is the Question?

Reference 2022

Resolution
unresolved
no resolver link, observed 2026-08-12T04:45:42.670805Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T04:45:42.670805Z digest=sha256:72988b40cec1e28047f3b48e801bd093b1dcc3c3950340c34f93d8f20f90f86f

Observation 16d63ea9-94f1-4130-a1d1-1bf9432c0b6d · inbound

MAGIC: Near-Optimal Data Attribution for Deep Learning cites this paper.

MAGIC: Near-Optimal Data Attribution for Deep Learning If Influence Functions are the Answer, Then What is the Question?

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-16T11:08:46.961415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-16T11:08:46.961415Z digest=sha256:ef28383f5c39c986e611fe52373fea3681baec688a66a96784b353e89cab2677

Observation 6fe4713d-f497-42c8-8209-4a73cba25c26 · inbound

A Human-Centric Framework for Data Attribution in Large Language Models cites this paper.

A Human-Centric Framework for Data Attribution in Large Language Models If Influence Functions are the Answer, Then What is the Question?

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-16T02:37:10.623372Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-16T02:33:56.023070Z digest=sha256:541db0e1e1c279f2431c4cb4732fb30e2f2260755a9f91d3d44a29ce1f22704a

Observation 34eb8767-c4ea-44d8-9f8f-905e96566cac · inbound

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data cites this paper.

Unlearning with Asymmetric Sources: Improved Unlearning-Utility Trade-off with Public Data If Influence Functions are the Answer, Then What is the Question?

Reference 160

Resolution
verified exact
arxiv_id, observed 2026-05-13T05:57:21.775486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-13T05:56:38.042978Z digest=sha256:644bb51b7ff4907a655ad732b55fbc8f36c940ba227a3c19b644c373ef6a3f02

Observation ee548d04-b1d0-42c8-b3ac-07e729addae5 · inbound

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior cites this paper.

Quantifying the Agreement Between Data-Influence and Data-Similarity to Understand LLM Behavior If Influence Functions are the Answer, Then What is the Question?

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-06-26T08:49:15.008630Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-06-26T08:45:34.884703Z digest=sha256:d9d07cfbad5fb401dcf6b9c0c743a5538c73efebca871bd239c88f669216c93c

Observation c9ceb938-bf48-4a19-9030-6e5bb2189023 · inbound

Prototype Language Models cites this paper.

Prototype Language Models If Influence Functions are the Answer, Then What is the Question?

Reference 123

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:17:08.348321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-07-02T16:13:43.039645Z digest=sha256:c1e6b595a1ef3d5123f14c9f984cea01dec268372236b0b5c3e26ee1c8277e7b