Paper Citation Record · LEDGER

A Geometric Theory of Cognition for Machine Intelligence

As of 8 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 0 inbound Pith citation observations for arXiv:2512.12225.

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

pith.paper-citation-record.v1
2512.12225 v3

Coverage vector

measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T16:46:58.826849Z

measured 35 of 35 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 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

35 of 35 outbound references displayed

verified exact7
verified fuzzy0
unresolved26
parse uncertain0
malformed identifier2
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b095ca0c-735a-4d69-ad83-9edcdd6cae09 · outbound

This paper cites & Thomson, M.

A Geometric Theory of Cognition for Machine Intelligence & Thomson, M

Reference 1

Resolution: verified exact; doi, observed 2026-08-03T16:49:39.070481Z

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 0df48617-a66c-47c0-bf12-130807c79b5e · outbound

This paper cites A., Patai, E.

A Geometric Theory of Cognition for Machine Intelligence A., Patai, E

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:55.196405Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f863486e-4b7b-41bf-b923-0d5b4b3c08f3 · outbound

This paper cites E., Liu, Y ., Vehar, N., Behrens, T.

A Geometric Theory of Cognition for Machine Intelligence E., Liu, Y ., Vehar, N., Behrens, T

Reference 3

Resolution: verified exact; doi, observed 2026-08-03T16:49:38.786866Z

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 12b9ab2b-edd0-4a32-9e37-01ec8dddce92 · outbound

This paper cites & Zampieri, S.

A Geometric Theory of Cognition for Machine Intelligence & Zampieri, S

Reference 4

Resolution: verified exact; doi, observed 2026-08-03T16:49:38.532509Z

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 0530afff-629e-4e42-998c-59f15dd78822 · outbound

This paper cites an unresolved cited work.

A Geometric Theory of Cognition for Machine Intelligence Unresolved cited work

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:55.529917Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd020a6c-ee77-4837-9dcd-99855bebca64 · outbound

This paper cites & Lillicrap, T.

A Geometric Theory of Cognition for Machine Intelligence & Lillicrap, T

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:55.693947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6603e397-e523-4d86-8df9-3f45bbaa2234 · outbound

This paper cites T., Mieczkowski, E., Fang, C., Tenenbaum, J.

A Geometric Theory of Cognition for Machine Intelligence T., Mieczkowski, E., Fang, C., Tenenbaum, J

Reference 7

Resolution: verified exact; doi, observed 2026-08-03T16:49:38.328489Z

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 2b4b7f31-50cc-412c-8492-329deb39914f · outbound

This paper cites M.et al.Building machines that learn and think with people.Nat.

A Geometric Theory of Cognition for Machine Intelligence M.et al.Building machines that learn and think with people.Nat

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:55.926948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 04ce6de0-5d6c-49bb-9336-480ba9417cb6 · outbound

This paper cites L., Tang, N., Xu, H.

A Geometric Theory of Cognition for Machine Intelligence L., Tang, N., Xu, H

Reference 9

Resolution: verified exact; doi, observed 2026-08-03T16:49:38.147682Z

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 dc7032aa-802a-469e-9837-09f9d809bd25 · outbound

This paper cites M., Ullman, T.

A Geometric Theory of Cognition for Machine Intelligence M., Ullman, T

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:56.243332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 719846c1-6c34-4e59-91b6-ff1beb7a22a0 · outbound

This paper cites M., Salakhutdinov, R.

A Geometric Theory of Cognition for Machine Intelligence M., Salakhutdinov, R

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:56.395276Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a700773-f6d9-41e3-a54c-98ae80a35955 · outbound

This paper cites H., Vempala, S.

A Geometric Theory of Cognition for Machine Intelligence H., Vempala, S

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:56.561287Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7e4d4dda-9457-4e63-a8d5-653974db48dd · outbound

This paper cites an unresolved cited work.

A Geometric Theory of Cognition for Machine Intelligence Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:56.685028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9149182-c6e0-48b9-8686-93a6589aa94b · outbound

This paper cites an unresolved cited work.

A Geometric Theory of Cognition for Machine Intelligence Unresolved cited work

Reference 14

Resolution: malformed identifier; no resolver link, observed 2026-08-03T16:46:56.756340Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 54260819-792f-407e-8f10-c4f59a6e7a3a · outbound

This paper cites & Wang, J.

A Geometric Theory of Cognition for Machine Intelligence & Wang, J

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:56.872499Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 58559829-e434-49e1-8891-c3dd43e5e125 · outbound

This paper cites 17.Kahneman, D.Thinking, Fast and Slow(Farrar, Straus and Giroux, New York: New York, 2011).

A Geometric Theory of Cognition for Machine Intelligence 17.Kahneman, D.Thinking, Fast and Slow(Farrar, Straus and Giroux, New York: New York, 2011)

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:56.965426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c22b1b43-b4fd-43d3-85a1-275f4cead8f3 · outbound

This paper cites A mathematical framework of intelligence and consciousness based on Riemannian Geometry.

A Geometric Theory of Cognition for Machine Intelligence A mathematical framework of intelligence and consciousness based on Riemannian Geometry

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.047853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd08ebdd-8537-4caa-a3ee-8f06fa5e9046 · outbound

This paper cites K.et al.A principal odor map unifies diverse tasks in olfactory perception.Science381, 999–1006, DOI: 10.1126/science.ade4401 (2023).

A Geometric Theory of Cognition for Machine Intelligence K.et al.A principal odor map unifies diverse tasks in olfactory perception.Science381, 999–1006, DOI: 10.1126/science.ade4401 (2023)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.177194Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0a57353-355b-4403-9b97-f4a6f8f5c9d0 · outbound

This paper cites Aligning Machine and Human Visual Representations across Abstraction Levels.

A Geometric Theory of Cognition for Machine Intelligence Aligning Machine and Human Visual Representations across Abstraction Levels

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.247402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fa9da91c-617b-4cf8-8493-b994eb23e0ff · outbound

This paper cites L., Chater, N.

A Geometric Theory of Cognition for Machine Intelligence L., Chater, N

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.324429Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 67cac07b-fe53-4290-9d5e-2cfe5e5afc57 · outbound

This paper cites Learning riemannian metrics.

A Geometric Theory of Cognition for Machine Intelligence Learning riemannian metrics

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.410504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f9763b9a-3dbb-4693-83aa-ac910fcd033a · outbound

This paper cites An overview of gradient descent optimization algorithms.

A Geometric Theory of Cognition for Machine Intelligence An overview of gradient descent optimization algorithms

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.521581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 65e377ab-06f0-4d6c-82d5-d0b34192eb45 · outbound

This paper cites InProceedings of the 30th International Conference on Neural Information Processing Systems, NIPS’16, 3988–3996 (Curran Associates Inc., Red Hook, NY , USA, 2016).

A Geometric Theory of Cognition for Machine Intelligence InProceedings of the 30th International Conference on Neural Information Processing Systems, NIPS’16, 3988–3996 (Curran Associates Inc., Red Hook, NY , USA, 2016)

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.603691Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7556ac01-bd1d-4ce7-b665-671a15ff1922 · outbound

This paper cites & Rao, R.

A Geometric Theory of Cognition for Machine Intelligence & Rao, R

Reference 28

Resolution: verified exact; doi, observed 2026-08-03T16:49:37.945047Z

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 a79a14fa-db3a-4768-8671-e7c803464451 · outbound

This paper cites an unresolved cited work.

A Geometric Theory of Cognition for Machine Intelligence Unresolved cited work

Reference 29

Resolution: malformed identifier; no resolver link, observed 2026-08-03T16:46:57.747149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 469d748c-36e6-4151-bcb2-dfc3bddc1ec5 · outbound

This paper cites an unresolved cited work.

A Geometric Theory of Cognition for Machine Intelligence Unresolved cited work

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.838031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f7b34d2-48a1-4cd1-91c0-3daf8bbcc0ce · outbound

This paper cites Deep Residual Learning for Image Recognition.

A Geometric Theory of Cognition for Machine Intelligence Deep Residual Learning for Image Recognition

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.896245Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e9a22122-7319-4877-8d1e-63b1c102d6ad · outbound

This paper cites The free-energy principle: a unified brain theory?Nat.

A Geometric Theory of Cognition for Machine Intelligence The free-energy principle: a unified brain theory?Nat

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:57.918909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 644e7243-5f76-42c6-a3d5-6fc1b49bbcd7 · outbound

This paper cites & Rand, D.

A Geometric Theory of Cognition for Machine Intelligence & Rand, D

Reference 33

Resolution: verified exact; doi, observed 2026-08-03T16:49:37.759565Z

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 b9366385-cccb-43d8-a215-62e5eb9b2f64 · outbound

This paper cites an unresolved cited work.

A Geometric Theory of Cognition for Machine Intelligence Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:58.138986Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 832ac3bc-7eeb-4cdb-a012-22bf88e9b1a8 · outbound

This paper cites an unresolved cited work.

A Geometric Theory of Cognition for Machine Intelligence Unresolved cited work

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:58.295909Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 00db83df-cb95-488f-9427-35d6982eddba · outbound

This paper cites J., Freeman, B.

A Geometric Theory of Cognition for Machine Intelligence J., Freeman, B

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:58.460296Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 31f0bd24-cdaf-4924-a56e-f53b0ba3020d · outbound

This paper cites V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning.

A Geometric Theory of Cognition for Machine Intelligence V-JEPA 2: Self-Supervised Video Models Enable Understanding, Prediction and Planning

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:58.559497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c83a3ae6-aca9-4952-b24b-626bf88fcd69 · outbound

This paper cites & Bengio, Y.

A Geometric Theory of Cognition for Machine Intelligence & Bengio, Y

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:58.716678Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b340604d-c2f6-492f-8467-2aa743e5e90f · outbound

This paper cites Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning.

A Geometric Theory of Cognition for Machine Intelligence Optimization Methods for Interpretable Differentiable Decision Trees in Reinforcement Learning

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-03T16:46:58.826849Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.