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Paper Citation Record · LEDGER

Memory Planning for Deep Neural Networks

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2203.00448.

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

pith.paper-citation-record.v1
2203.00448 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T04:15:01.048843Z

measured 1 of 1 external citation measurements

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

Source: pith, 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
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 57073254-8486-4e51-b60e-19d6c4b09430 · inbound

Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration cites this paper.

Xema: Efficient Diffusion Serving through Fine-Grained Memory Management and Auto-Configuration Memory Planning for Deep Neural Networks

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-07-14T06:50:17.802559Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-07-14T06:49:04.349040Z digest=sha256:5814653a43df4b757be01cd17a21546861d27b112b5a9c602ab27bac4446ebf3

Observation 6d1010c2-5067-4078-86d3-c006102bcaf1 · inbound

LATTICE: Constraint-Directed Scheduling, Memory Planning, and Pipeline Refinement for NPUs cites this paper.

LATTICE: Constraint-Directed Scheduling, Memory Planning, and Pipeline Refinement for NPUs Memory Planning for Deep Neural Networks

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-01T18:06:23.902125Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T18:06:23.902125Z digest=sha256:cebd73bbbc8b8fa803feb7a29e0a810128be7a2b78a83584952c6e5da0a9d827

Observation 98c35ff5-e15a-47c0-a116-9492b8fa7c49 · inbound

LATTICE: Constraint-Directed Scheduling, Memory Planning, and Pipeline Refinement for NPUs cites this paper.

LATTICE: Constraint-Directed Scheduling, Memory Planning, and Pipeline Refinement for NPUs Memory Planning for Deep Neural Networks

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-04T04:15:01.048843Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T04:15:01.048843Z digest=sha256:6b55cc90e7a0f090616878255b11c943e3235fe1a54a23748800b2996924cffb