Paper Citation Record · LEDGER

Understanding Black-box Predictions via Influence Functions

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:1703.04730.

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

pith.paper-citation-record.v1
1703.04730 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 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 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:26:32.988235Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T06:19:38.882684Z

Reference resolution

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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 9122ca2a-26d2-4016-94ba-dceadd4403f3 · inbound

Learning More From Less: Towards Strengthening Weak Supervision for Ad-Hoc Retrieval cites this paper.

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-24T18:44:49.315388Z

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.

Observation 332d541b-eb1f-479c-9c02-957200b33d07 · inbound

Language Models as Knowledge Bases? cites this paper.

Language Models as Knowledge Bases? Understanding Black-box Predictions via Influence Functions

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T10:51:45.810779Z

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.

Observation 42ddc9e5-d103-47c2-99ed-1fa08c2726d1 · inbound

How to Protect Models against Adversarial Unlearning? cites this paper.

How to Protect Models against Adversarial Unlearning? Understanding Black-box Predictions via Influence Functions

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T17:26:32.988235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa4bdcb8-5bcc-4560-bf57-b462143da1ae · inbound

Evaluating the Dynamics of Membership Privacy in Deep Learning cites this paper.

Evaluating the Dynamics of Membership Privacy in Deep Learning Understanding Black-box Predictions via Influence Functions

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T10:58:05.967606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 683381e6-0376-4a69-ad10-3e586deb8ae9 · inbound

Influence Dynamics and Stagewise Data Attribution cites this paper.

Influence Dynamics and Stagewise Data Attribution Understanding Black-box Predictions via Influence Functions

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T10:05:14.440621Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0a748625-897f-4672-8df3-7e4b3380310d · inbound

When unlearning is free: leveraging low influence points to reduce computational costs cites this paper.

When unlearning is free: leveraging low influence points to reduce computational costs Understanding Black-box Predictions via Influence Functions

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T18:28:32.268921Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 207e8ca3-091c-4d4e-b8d7-faf936a6859f · inbound

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning cites this paper.

GUDA: Counterfactual Group-wise Training Data Attribution for Diffusion Models via Unlearning Understanding Black-box Predictions via Influence Functions

Reference 2002

Resolution: unresolved; no resolver link, observed 2026-08-03T06:35:42.846711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 25756fc6-8e5a-47b0-a809-10440d6bfb2e · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation Understanding Black-box Predictions via Influence Functions

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:48:01.070059Z

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.

Observation 86c168f7-4dc6-4375-8c87-c100414036ab · inbound

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation cites this paper.

Sketching the Readout of Large Language Models for Scalable Data Attribution and Valuation Understanding Black-box Predictions via Influence Functions

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-02T16:12:09.386234Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation edd46b5a-9b4c-4c09-b197-2d54b0edd7da · inbound

Mapping data sensitivities in global QCD analysis with linear response and influence functions cites this paper.

Mapping data sensitivities in global QCD analysis with linear response and influence functions Understanding Black-box Predictions via Influence Functions

Reference 52

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:28.387642Z

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.

Observation 9a260e86-97d3-4a97-ad1a-55a68850e789 · inbound

Interpreting Reinforcement Learning Agents with Susceptibilities cites this paper.

Interpreting Reinforcement Learning Agents with Susceptibilities Understanding Black-box Predictions via Influence Functions

Reference 119

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:05:55.348566Z

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.

Observation cff1b5a3-8135-44f6-9b0e-caf64f14f20a · inbound

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning cites this paper.

PRISM: Preference-Aware Influence Function Based Data Selection Method for Efficient Fine-Tuning Understanding Black-box Predictions via Influence Functions

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:04:56.643545Z

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.

Observation f33a1bdb-f920-446f-9488-d82e1e082285 · inbound

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data cites this paper.

RLVR Datasets and Where to Find Them: Tracing Data Lineage for Better Training Data Understanding Black-box Predictions via Influence Functions

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-06-29T19:43:55.126095Z

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.

Observation 8989d349-9be5-4595-ab05-4e701a3c7df0 · inbound

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors cites this paper.

idSCD: Identifying Training Datasets through Semantic Correlation Descriptors Understanding Black-box Predictions via Influence Functions

Reference 20

Resolution: metadata mismatch; arxiv_id, observed 2026-06-29T08:43:15.862994Z

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.

Observation 29c493bd-8324-49f8-8aaa-13f151e3e33a · inbound

Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment cites this paper.

Towards Dys-XAI: Influence-Based Explanations for Dysarthria Severity Assessment Understanding Black-box Predictions via Influence Functions

Reference 38

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T06:19:38.884427Z

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.

Observation cf2d568d-a380-49b0-b067-c3e2b242877b · inbound

Watermarking for Proprietary Dataset Protection cites this paper.

Watermarking for Proprietary Dataset Protection Understanding Black-box Predictions via Influence Functions

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-07-02T16:17:08.439151Z

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.

Observation 3dcbbd04-ac65-491e-a04e-19941dbec998 · inbound

Implicit Reasoning Steering via Concept Chaining cites this paper.

Implicit Reasoning Steering via Concept Chaining Understanding Black-box Predictions via Influence Functions

Reference 132

Resolution: unresolved; no resolver link, observed 2026-08-02T02:44:33.262620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.