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Paper Citation Record · LEDGER

Converting MLPs into Polynomials in Closed Form

As of 10 August 2026, this Paper Citation Record lists 19 of 19 outbound references and 1 inbound Pith citation observation for arXiv:2502.01032.

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

pith.paper-citation-record.v1
2502.01032 v1

Coverage vector

measured 19 of 19 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T16:58:44.745994Z

measured 20 of 20 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-12T02:42:26.173782Z

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

19 of 19 outbound references displayed

  • verified exact0
  • verified fuzzy7
  • unresolved12
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 1ba47b74-4639-4926-9fda-65b1ee23e175 · outbound

This paper cites write newline.

Converting MLPs into Polynomials in Closed Form write newline

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.676844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.676844Z digest=sha256:337f77429c3e460669dcb72d59bd6501e2282d34116cade3f675e5b6050f2103

Observation ec0d3acd-6ace-44b5-988d-1e77b118b5ba · outbound

This paper cites LEACE: Perfect linear concept erasure in closed form.

Converting MLPs into Polynomials in Closed Form LEACE: Perfect linear concept erasure in closed form

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.682073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.682073Z digest=sha256:c511dc1a5a24d1af88e9e0de66ba494e3634fb57ec989c19ca91f1113a432c08

Observation 553475d7-4a47-43ff-b35f-928dee4e1e5c · outbound

This paper cites T., and Fern, X.

Converting MLPs into Polynomials in Closed Form T., and Fern, X

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:58:44.928557Z

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=2026-08-09T16:58:44.686361Z digest=sha256:0faa6191bcee3970660dd6def42fbc6d0f418f1848039f35e04c22f13d4e9fcf

Observation 947eb71f-3ec9-46e2-abc5-085323b2e178 · outbound

This paper cites N., Fan, A., Auli, M., and Grangier, D.

Converting MLPs into Polynomials in Closed Form N., Fan, A., Auli, M., and Grangier, D

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.690206Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.690206Z digest=sha256:bf8e19825fa146b3ab5759413fb7d2a84b195e331512d3c84ae4c2d8d06a3ad7

Observation 8045e5a1-70ba-4b0c-9222-c36da6b26eb6 · outbound

This paper cites The Road Less Scheduled.

Converting MLPs into Polynomials in Closed Form The Road Less Scheduled

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.694387Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.694387Z digest=sha256:c7e5325bd15f36a8273fb9388b466fca76f65b7964cb3798b147db7df4a378ae

Observation 7b2c4e78-089b-4217-87c6-64cf351a596c · outbound

This paper cites Toy Models of Superposition.

Converting MLPs into Polynomials in Closed Form Toy Models of Superposition

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.698365Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.698365Z digest=sha256:e8c2f9d3ab42b6d6a59899b636f220a7911b6fc8c48176a08fe9023b9dbf06d3

Observation fcddbfca-8112-445d-8d1a-64c954b52f33 · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Converting MLPs into Polynomials in Closed Form Gaussian Error Linear Units (GELUs)

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.702248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.702248Z digest=sha256:4fa37f25387cb8171ca648f55ac986091cac5d35e2ee18509dc6fc09f366426d

Observation 070fb855-b7e1-4b89-948b-d7e4c6068c3f · outbound

This paper cites R., Ewart, A., and Sharkey, L.

Converting MLPs into Polynomials in Closed Form R., Ewart, A., and Sharkey, L

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.706562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.706562Z digest=sha256:d8f702f2da0dcaaf15cba97ee9feef391ce03296aa0ec433bbf5ae5b3205b9a5

Observation d5ad56d0-9679-42ba-886e-97e14115e073 · outbound

This paper cites On a formula for the product-moment coefficient of any order of a normal frequency distribution in any number of variables.

Converting MLPs into Polynomials in Closed Form On a formula for the product-moment coefficient of any order of a normal frequency distribution in any number of variables

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:58:44.907458Z

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=2026-08-09T16:58:44.710216Z digest=sha256:ce101700d21839d22a2ea5dc606ae66ab4fc227bfcd144c2227aed228ce1478d

Observation 503b4645-4ecb-4169-8a25-cf02bf9028ad · outbound

This paper cites Gradient-based learning applied to document recognition.

Converting MLPs into Polynomials in Closed Form Gradient-based learning applied to document recognition

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.713923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.713923Z digest=sha256:0876928b77b3199daf6df4c53439afa131d893adfc8a7c4188ad0db7b748e3fe

Observation 8b78d264-89b0-4ea5-a81c-1433e57ec08f · outbound

This paper cites and Black, S.

Converting MLPs into Polynomials in Closed Form and Black, S

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:58:44.891406Z

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=2026-08-09T16:58:44.717587Z digest=sha256:6721fcb6a414850312f1ef96c51950dea5ad3bf81c86251b3e1b5697bdadee70

Observation 379559ca-b425-4a7f-929d-ac75ad390bf9 · outbound

This paper cites and Hinton, G.

Converting MLPs into Polynomials in Closed Form and Hinton, G

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:58:44.879642Z

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=2026-08-09T16:58:44.721156Z digest=sha256:d3bdfe3ef91f252047a0450ea93b4d2dca22061a2c880122d9cb6c732870b48c

Observation 194b0c5e-5f83-42ba-a670-91e78f65d47a · outbound

This paper cites L., Zhang, F., and Barak, B.

Converting MLPs into Polynomials in Closed Form L., Zhang, F., and Barak, B

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:58:44.870167Z

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=2026-08-09T16:58:44.724651Z digest=sha256:9fd75533045cdb229c045b84c3d0d9fbc9e6d0cd97e5d7bd8cb56ca1b99ffe2a

Observation 03a62e24-7bea-4a65-ad6d-efbe6406accf · outbound

This paper cites an unresolved cited work.

Converting MLPs into Polynomials in Closed Form Unresolved cited work

Reference 14

Resolution
unresolved
raw_fallback, observed 2026-08-09T16:58:44.860250Z

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=2026-08-09T16:58:44.728141Z digest=sha256:efe929b0b3142397236652f968bc6e27d4324a6bb849d955fd2361361949335e

Observation 7018977c-9838-49b4-badc-ba1620c36b4b · outbound

This paper cites Automatically Interpreting Millions of Features in Large Language Models.

Converting MLPs into Polynomials in Closed Form Automatically Interpreting Millions of Features in Large Language Models

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.732303Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.732303Z digest=sha256:62b6e32efa50ae9b5f6a202ba8818073fea4550596ee767720190c549705e402

Observation fc9e5db5-3e07-4b27-a2a9-197c9bd5187f · outbound

This paper cites Bilinear MLPs enable weight-based mechanistic interpretability.

Converting MLPs into Polynomials in Closed Form Bilinear MLPs enable weight-based mechanistic interpretability

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.736081Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.736081Z digest=sha256:289237fffaf4bed489d875677680ffd5d25bd51daf640adf96203daf70ccb375

Observation 4c9a8b6c-1b8f-4f25-87e0-e6fc0c06550b · outbound

This paper cites Neural networks trained with sgd learn distributions of increasing complexity.

Converting MLPs into Polynomials in Closed Form Neural networks trained with sgd learn distributions of increasing complexity

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:58:44.850752Z

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=2026-08-09T16:58:44.739549Z digest=sha256:2c871f64b805085b1192f0e8beb369c7f13e14f776f7499b2c8e56e8482f417b

Observation dad498e2-e882-4740-994f-437de6276d88 · outbound

This paper cites GLU Variants Improve Transformer.

Converting MLPs into Polynomials in Closed Form GLU Variants Improve Transformer

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-09T16:58:44.742556Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T16:58:44.742556Z digest=sha256:5eef0ff327eac29296afc0781099f77c40c21af2b5fdc434f9731d86e006e09e

Observation bfbaa949-b34f-4837-972d-8e83e8ee5a7d · outbound

This paper cites M., Hartmann, V., and Abbasnejad, E.

Converting MLPs into Polynomials in Closed Form M., Hartmann, V., and Abbasnejad, E

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T16:58:44.840002Z

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=2026-08-09T16:58:44.745994Z digest=sha256:44f7d9497aafc4e0d8bea8546f3b68d04156b7476661dbcdb773db4ce6f85639

Pith citing papers

Observation d8d7e0db-02c7-4b06-820f-5727f817b236 · inbound

From Mechanistic to Compositional Interpretability cites this paper.

From Mechanistic to Compositional Interpretability Converting MLPs into Polynomials in Closed Form

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:46:18.559116Z

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=2026-05-12T02:42:26.173782Z digest=sha256:4f5ef67d33ab444139a9f072928368814fa3e75013f67f727fff8aefd8cf38bf