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Paper Citation Record · LEDGER

TFLMS: Large Model Support in TensorFlow by Graph Rewriting

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1807.02037.

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

pith.paper-citation-record.v1
1807.02037 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 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 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T06:00:32.323175Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T23:53:39.437005Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 a1796628-98f0-4eaa-8448-b5a86712f6c1 · inbound

ProTrain: Efficient LLM Training via Memory-Aware Techniques cites this paper.

ProTrain: Efficient LLM Training via Memory-Aware Techniques TFLMS: Large Model Support in TensorFlow by Graph Rewriting

Reference 22

Resolution
verified exact
arxiv_id, observed 2026-05-23T23:53:39.442194Z

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.

source=pdf_text observed=2026-05-23T23:48:40.669335Z digest=sha256:3c412e2bb3f72fdaf088e198f1ab35b9184d95cfd1e77dd65926304d036631c6

Observation 25d743ac-8fb4-4732-845d-9763d4d96a9a · inbound

Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage cites this paper.

Cost-Efficient LLM Training with Lifetime-Aware Tensor Offloading via GPUDirect Storage TFLMS: Large Model Support in TensorFlow by Graph Rewriting

Reference 16

Resolution
unresolved
no resolver link, observed 2026-08-07T06:00:32.323175Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:00:32.323175Z digest=sha256:797e3d6957a90fbf8fb9f7279890f7ab60ec90987828c1b475d8eaa46163ff64