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Paper Citation Record · LEDGER

Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2501.02521.

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

pith.paper-citation-record.v1
2501.02521 v1

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 2026-08-06T06:34:29.942622+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:00:03.811179Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T13:48:21.358472Z

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 d573deb2-6cd7-4f95-8533-c3288c91590f · inbound

OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning cites this paper.

OLALa: Online Learned Adaptive Lattice Codes for Heterogeneous Federated Learning Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-06T23:00:03.811179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T23:00:03.811179Z digest=sha256:c7b4c88d65fe4dc7d15b6083834f1e92f9ec84f329d40fc1f4dc556d919a5b75

Observation ea78b29b-f93e-41c1-8698-5356e41da77a · inbound

Multi-Bitwidth Quantization for LLMs Using Additive Codebooks cites this paper.

Multi-Bitwidth Quantization for LLMs Using Additive Codebooks Remote Inference over Dynamic Links via Adaptive Rate Deep Task-Oriented Vector Quantization

Reference 70

Resolution
verified exact
arxiv_id, observed 2026-07-03T13:48:21.359901Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-06-27T07:29:14.923431Z digest=sha256:720a09f96126f9d6f9c7c3248f53437a91ae5f4fda36c5ffe4dc31c92e0c3672