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Paper Citation Record · LEDGER

NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2503.24322.

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

pith.paper-citation-record.v1
2503.24322 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T05:48:57.008747Z

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

0
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 02c2379e-baa0-4167-b25e-1009e934fa86 · inbound

Iterative Quantum Feature Maps cites this paper.

Iterative Quantum Feature Maps NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation

Reference 52

Resolution
verified exact
arxiv_id, observed 2026-05-19T08:17:10.599037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T08:16:36.686159Z digest=sha256:dfe376e29ab7bcdd5189f4f4026074b8bb2fd5b9591e836d4903bf05838abe8d

Observation a047dd28-a051-497d-8ddf-3ffae563dfc6 · inbound

Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis cites this paper.

Eigen Neural Network: Unlocking Generalizable Vision with Eigenbasis NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-06T05:48:57.008747Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:48:57.008747Z digest=sha256:19e450259f8d047804f3c1ef70c362d8766f2641b66ecb7fe2c8e01951806d44

Observation d2304e70-16e4-4716-809e-103f3fa137ba · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-07-02T12:26:56.573192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-28T02:09:01.018909Z digest=sha256:bb66aa176d6ba5fd5d827dce3c603c39010c079add9a8ffb290a54b593c736ec

Observation 96674555-7268-49a3-aaf6-fab511b7109d · inbound

Pretraining Recurrent Networks without Recurrence cites this paper.

Pretraining Recurrent Networks without Recurrence NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-02T12:20:55.702554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:20:55.702554Z digest=sha256:3b59873d460fe4d7323e1526cdb20916743f04f47823c42fffdfdadaaa6f125b

Observation 3278b63d-24f2-47be-8cc9-c61c718c16fc · inbound

Forget, Anticipate and Adapt: Test Time Training for Long Videos cites this paper.

Forget, Anticipate and Adapt: Test Time Training for Long Videos NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:59:53.034738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-26T05:34:05.109347Z digest=sha256:3a0e6978fab822a9ae6192dacd65d81f57319cd0fa187aaf9788a2c95df60998

Observation d8745ef6-4e21-455a-83bf-0eb655208763 · inbound

Forget, Anticipate and Adapt: Test Time Training for Long Videos cites this paper.

Forget, Anticipate and Adapt: Test Time Training for Long Videos NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation

Reference 63

Resolution
verified exact
arxiv_id, observed 2026-06-30T11:54:38.935855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-06-30T10:22:49.075651Z digest=sha256:88bfa3c35f5c38b5dae466b79afea102c38202beeb2ec76f2365b522e6121b48

Observation 604467b7-7505-4347-a64e-e831209f522d · inbound

Forget, Anticipate and Adapt: Test Time Training for Long Videos cites this paper.

Forget, Anticipate and Adapt: Test Time Training for Long Videos NoProp: Training Neural Networks without Full Back-propagation or Full Forward-propagation

Reference 63

Resolution
unresolved
no resolver link, observed 2026-07-14T17:16:44.626166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T17:16:44.626166Z digest=sha256:bd9059919c00dc93b9a5f7588828328ccda2b5f4b59b07e4ab073c4bb2cd7f9b