Paper Citation Record · LEDGER

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2607.25546.

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

pith.paper-citation-record.v1
2607.25546 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:13:36.575974Z

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+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

18 of 18 outbound references displayed

verified exact0
verified fuzzy0
unresolved18
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation fcba9d0b-8acb-4a6e-99fd-76f09241231e · outbound

This paper cites Advances in Neural Information Processing Systems (.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Advances in Neural Information Processing Systems (

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.456549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d4ce313e-27e4-4ad4-b71a-9c97054a6e22 · outbound

This paper cites International Conference on Learning Representations (.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios International Conference on Learning Representations (

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.469684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3685093f-b40a-4273-b779-41cbe6322bce · outbound

This paper cites Transformers Can Do.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Transformers Can Do

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.482342Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 56416d84-b7c9-47b7-a86b-21cbfff9875d · outbound

This paper cites What Learning Algorithm Is In-Context Learning?.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios What Learning Algorithm Is In-Context Learning?

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.491406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 431fb819-82a9-4702-8670-42a3332d5882 · outbound

This paper cites Transformers Learn In-Context by Gradient Descent , booktitle =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Transformers Learn In-Context by Gradient Descent , booktitle =

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.506613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eedb1ca8-2837-41ad-a9ae-bcda42053059 · outbound

This paper cites The Eleventh International Conference on Learning Representations (.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios The Eleventh International Conference on Learning Representations (

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.518708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 122e3637-4601-43f8-ad23-6fbb30e35f3c · outbound

This paper cites Invariant Risk Minimization , journal =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Invariant Risk Minimization , journal =

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.534452Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63d93743-b76c-430f-836f-2ba3aaaa4f55 · outbound

This paper cites Causal Inference by Using Invariant Prediction: Identification and Confidence Intervals , journal =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Causal Inference by Using Invariant Prediction: Identification and Confidence Intervals , journal =

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.538433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67d62dd3-331f-40da-82a3-29f26c808609 · outbound

This paper cites and Liang, Percy , title =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios and Liang, Percy , title =

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.542318Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b879004-7127-4c53-ad87-90e9526b0b73 · outbound

This paper cites Out-of-Distribution Generalization via Risk Extrapolation (.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Out-of-Distribution Generalization via Risk Extrapolation (

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.546074Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c76f4079-43c8-43e5-b212-728e1a7e009e · outbound

This paper cites arXiv preprint , year =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios arXiv preprint , year =

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.549763Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 48ffc101-aad4-48ee-8155-7e09aaff4ebe · outbound

This paper cites , title =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios , title =

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.553853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bb0a015-122e-4b59-b6f1-89a06271e2f8 · outbound

This paper cites Logic, Language, Information, and Computation , pages =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Logic, Language, Information, and Computation , pages =

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.557576Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0fec7257-f069-4d7f-b1ad-44aba20ded91 · outbound

This paper cites an unresolved cited work.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Unresolved cited work

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.561229Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e0498f07-0fa8-4380-b277-f6bd4834ca2a · outbound

This paper cites and Horlbeck, Max A.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios and Horlbeck, Max A

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.564881Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 50d27829-7621-4f46-af06-a162137c9d6b · outbound

This paper cites , title =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios , title =

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.568375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b95f7d4-3ec0-4588-a753-b0ad56418149 · outbound

This paper cites Event labeling combining ensemble detectors and background knowledge , howpublished =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Event labeling combining ensemble detectors and background knowledge , howpublished =

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.572226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea97ad41-eac7-4169-b23c-525fd17df654 · outbound

This paper cites Modeling wine preferences by data mining from physicochemical properties , howpublished =.

From Training to Deployment: Post-Hoc Causal Feature Identification via Sensitivity Ratios Modeling wine preferences by data mining from physicochemical properties , howpublished =

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T02:13:36.575974Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.