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Paper Citation Record · LEDGER

SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.10293.

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

pith.paper-citation-record.v1
2409.10293 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 2026-08-15T06:32:42.880941+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:51.890905Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T04:56:37.128745Z

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 72d7b9f8-fe9a-442b-a7c3-4369e9e8ae9b · inbound

SEDD-PCC: A Single Encoder-Dual Decoder Framework For End-To-End Learned Point Cloud Compression cites this paper.

SEDD-PCC: A Single Encoder-Dual Decoder Framework For End-To-End Learned Point Cloud Compression SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-07T14:59:51.890905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:59:51.890905Z digest=sha256:3de11bdb525ab2add3380860436e8f97b89e39feee4ed80092af3ab0c531a685

Observation 693c2233-a3f2-4d4f-a581-ebfe78fc165c · inbound

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals cites this paper.

Generalized Gaussian Entropy Model for Point Cloud Attribute Compression with Dynamic Likelihood Intervals SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-07T04:56:37.132966Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-08-07T04:56:37.031450Z digest=sha256:da3c03c5251ec5266fb75e0d99df3de59422dcad3f2781eb1802148336b3dcb3

Observation 0532dee6-e6ea-4805-8dfc-5ee9ec712ad2 · inbound

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory cites this paper.

ClinicalAgents: Multi-Agent Orchestration for Clinical Decision Making with Dual-Memory SPAC: Sampling-based Progressive Attribute Compression for Dense Point Clouds

Reference 3

Resolution
unresolved
no resolver link, observed 2026-07-13T17:44:45.015983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-13T17:44:45.015983Z digest=sha256:ab65ddd235f857556a19d56329b7dc07599589e30806351eaeb47d14f6d7cc90