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Paper Citation Record · LEDGER

Propositional Interpretability in Artificial Intelligence

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2501.15740.

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

pith.paper-citation-record.v1
2501.15740 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:42:38.496833Z

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

2
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 d9460b32-f943-438b-a644-b209fd11a0e0 · inbound

Explaining Neural Networks with Reasons cites this paper.

Explaining Neural Networks with Reasons Propositional Interpretability in Artificial Intelligence

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T15:42:38.496833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:42:38.496833Z digest=sha256:54d4437198ecdadb878008c66f6546143d31086c3c67ae9da3c0a405a1ca387c

Observation 2a2ada0b-7f41-47b0-b1a6-a7daf78a0719 · inbound

Mechanistic Interpretability Needs Philosophy cites this paper.

Mechanistic Interpretability Needs Philosophy Propositional Interpretability in Artificial Intelligence

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-21T23:50:47.329736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T23:49:19.683025Z digest=sha256:6fb47217dcaa0b0b35a9e31b79ac1c3db00fe0c7e72c075dc98c0f0cf2e2d4ce

Observation 82feaba0-7f2d-4d2e-b478-82de071c8d7a · inbound

The Impact of Off-Policy Training Data on Probe Generalisation cites this paper.

The Impact of Off-Policy Training Data on Probe Generalisation Propositional Interpretability in Artificial Intelligence

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-17T20:30:11.678096Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-17T20:26:37.914522Z digest=sha256:90132157c94247b9ffd27d7c5b165e19a513475ef43cdfe2b4226daa103a6d5b

Observation 17767a66-3ebe-4574-baf9-f3aa1f547fd7 · inbound

A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents cites this paper.

A Behavioural and Representational Evaluation of Goal-Directedness in Language Model Agents Propositional Interpretability in Artificial Intelligence

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-03T03:09:49.974866Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T03:09:49.974866Z digest=sha256:0bfbbbd3fdd1314906874b77fc4544a8eb761b4a4eab402cb90b8549d6caa4fa

Observation e60aa1c1-2b7e-47c7-a612-75a8fa27c1c6 · inbound

Do Linear Probes Generalize Better in Persona Coordinates? cites this paper.

Do Linear Probes Generalize Better in Persona Coordinates? Propositional Interpretability in Artificial Intelligence

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-12T04:51:23.115554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T04:47:47.214726Z digest=sha256:a22fa12cd045fe73da2983d162df41c04b8a087362fbcaec1415690e46701e7f

Observation a0bafcc8-6789-44f6-a467-bac040a3694e · inbound

Do Linear Probes Generalize Better in Persona Coordinates? cites this paper.

Do Linear Probes Generalize Better in Persona Coordinates? Propositional Interpretability in Artificial Intelligence

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-05-19T17:07:40.494825Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-19T17:06:22.481341Z digest=sha256:1cf27edfb6a568913f544ba00524ae9a78f172ed07f97e28c008dd84b4152d1e

Observation e6684197-6c35-47eb-9849-ee435e8ee936 · inbound

The Impossibility of Eliciting Latent Knowledge cites this paper.

The Impossibility of Eliciting Latent Knowledge Propositional Interpretability in Artificial Intelligence

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-03T10:17:57.297181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-27T10:12:19.552548Z digest=sha256:8ae7bcdee1455a370b2f967cc70729f8fa854e6e5b6cb064fca3d685f5203221

Observation e0d51e38-de19-4006-9ccb-a21cf4121f36 · inbound

The New Associationism: Lessons from Deep Learning cites this paper.

The New Associationism: Lessons from Deep Learning Propositional Interpretability in Artificial Intelligence

Reference 67

Resolution
verified exact
arxiv_id, observed 2026-06-30T18:35:00.200079Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-30T18:33:24.819008Z digest=sha256:b1a9d64b17ecf28f79e239d263636554f4a2948f2aa70201b008a2d4a14e5595

Observation b8b6081f-236f-42a0-a42f-775cf0035ad2 · inbound

Radical AI Interpretability cites this paper.

Radical AI Interpretability Propositional Interpretability in Artificial Intelligence

Reference 23

Resolution
metadata mismatch
arxiv_id, observed 2026-07-04T13:09:51.075477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-26T05:26:47.854890Z digest=sha256:a9a1dfde35f17927091a08bd09ee1ceeb9173527c75e4466cd3a5468e1b16c99