Paper Citation Record · LEDGER

Natural Adversarial Examples

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1907.07174.

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

pith.paper-citation-record.v1
1907.07174 v4

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 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 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:25:03.925718Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T13:04:40.412664Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

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 523eca47-06c1-40f3-846f-bfbff1341536 · inbound

Measuring Massive Multitask Language Understanding cites this paper.

Measuring Massive Multitask Language Understanding Natural Adversarial Examples

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:43:44.483224Z

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.

Observation 7e66ea95-3b97-41dd-a76c-a03a5808a7bb · inbound

Scaling Laws for Transfer cites this paper.

Scaling Laws for Transfer Natural Adversarial Examples

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-18T00:58:13.299215Z

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.

Observation 0753f3fc-dbc2-4d38-be31-2df0645e454b · inbound

A General Language Assistant as a Laboratory for Alignment cites this paper.

A General Language Assistant as a Laboratory for Alignment Natural Adversarial Examples

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:22:59.547693Z

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.

Observation 0e05cf18-6f33-4265-a8ab-eab898102af8 · inbound

Language Models (Mostly) Know What They Know cites this paper.

Language Models (Mostly) Know What They Know Natural Adversarial Examples

Reference 90

Resolution: verified exact; arxiv_id, observed 2026-05-10T15:42:47.647946Z

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.

Observation e27049b8-84ce-4bf0-9cb9-5344cf53bf4c · inbound

LAION-5B: An open large-scale dataset for training next generation image-text models cites this paper.

LAION-5B: An open large-scale dataset for training next generation image-text models Natural Adversarial Examples

Reference 25

Resolution: metadata mismatch; arxiv_id, observed 2026-05-13T14:22:17.226412Z

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.

Observation ed85e21a-c190-47ab-8949-bfb3fcfa619c · inbound

Revisiting Bayesian Model Averaging in the Era of Foundation Models cites this paper.

Revisiting Bayesian Model Averaging in the Era of Foundation Models Natural Adversarial Examples

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-07T13:25:03.925718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db1515a3-2ff0-48da-bc95-a2f76eb6b5bd · inbound

Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets cites this paper.

Scaling Laws for Robust Comparison of Open Foundation Language-Vision Models and Datasets Natural Adversarial Examples

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T10:45:57.229394Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ff5b469-8a84-4267-82aa-f8a14ff214ad · inbound

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information cites this paper.

Quality over Quantity: An Effective Large-Scale Data Reduction Strategy Based on Pointwise V-Information Natural Adversarial Examples

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-06T23:51:46.642010Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2d26da56-22af-4b79-bf73-e21b23af6009 · inbound

Domain Adaptation via Feature Refinement cites this paper.

Domain Adaptation via Feature Refinement Natural Adversarial Examples

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T17:34:49.651876Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 26933b47-9045-4453-9391-ed9ce343c9f0 · inbound

Improving Detection of Rare Nodes in Hierarchical Multi-Label Learning cites this paper.

Improving Detection of Rare Nodes in Hierarchical Multi-Label Learning Natural Adversarial Examples

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-03T03:09:20.379385Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 021307c0-8305-4d8b-88c5-75f5d8110bc6 · inbound

Certified Circuits: Stability Guarantees for Mechanistic Circuits cites this paper.

Certified Circuits: Stability Guarantees for Mechanistic Circuits Natural Adversarial Examples

Reference 2019

Resolution: unresolved; no resolver link, observed 2026-08-02T20:37:41.376785Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4c51e2f6-3286-482c-a98a-1baf2a2a8efa · inbound

Motion-Compensated Weight Compression cites this paper.

Motion-Compensated Weight Compression Natural Adversarial Examples

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-06-30T13:04:40.414972Z

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.

Observation d32a2b6f-b460-4e62-aa5e-08c62488606f · inbound

Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation cites this paper.

Learning from Semantic Dictionaries: Discriminative Codebook Contrastive Learning for Unified Visual Representation and Generation Natural Adversarial Examples

Reference 27

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T12:34:38.746462Z

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.