Paper Citation Record · LEDGER

Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2308.09858.

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

pith.paper-citation-record.v1
2308.09858 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T22:47:46.759254Z

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-07-02T01:36:25.817193Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 8018e7fb-0cad-49c1-b257-856bfb085300 · inbound

Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training cites this paper.

Experimental Demonstration of an Optical Neural PDE Solver via On-Chip PINN Training Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-10T22:47:46.759254Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e3fff906-6096-47df-ad95-f3b2bf22f713 · inbound

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization cites this paper.

Ultra Memory-Efficient On-FPGA Training of Transformers via Tensor-Compressed Optimization Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-10T21:02:34.835075Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffe2364f-0059-4222-98b6-3b8fd3eb18ff · inbound

Scaling of hardware-compatible perturbative training algorithms cites this paper.

Scaling of hardware-compatible perturbative training algorithms Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T14:26:25.895044Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ffafccc6-af50-49c8-a364-dc3d5215dfae · inbound

Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered cites this paper.

Position: Zeroth-Order Optimization in Deep Learning Is Underexplored, Not Underpowered Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

Reference 106

Resolution: verified exact; arxiv_id, observed 2026-05-20T21:23:44.534164Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3e06bcd2-4e8e-4ec9-a207-da36d2ff5e39 · inbound

GRZO: Group-Relative Zeroth-Order Optimization for Large Language Model Fine-Tuning cites this paper.

GRZO: Group-Relative Zeroth-Order Optimization for Large Language Model Fine-Tuning Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-07-01T22:16:16.735542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 61bc6dd6-101e-4f35-9a2e-efca6e379d3c · inbound

ZOAF: Towards Efficient Zeroth-Order Optimization for Analog/RF Circuit Design cites this paper.

ZOAF: Towards Efficient Zeroth-Order Optimization for Analog/RF Circuit Design Tensor-Compressed Back-Propagation-Free Training for (Physics-Informed) Neural Networks

Reference 24

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T01:36:25.820144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.