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Paper Citation Record · LEDGER

Hearing Anywhere in Any Environment

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2504.10746.

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

pith.paper-citation-record.v1
2504.10746 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 2026-08-22T06:32:14.747728+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T10:25:14.873276Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T13:23:28.914355Z

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 2b78ae87-9c6c-4bcc-9ec8-0cc7ca3dbec0 · inbound

Differentiable Acoustic Radiance Transfer cites this paper.

Differentiable Acoustic Radiance Transfer Hearing Anywhere in Any Environment

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-05-18T16:01:34.553870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-18T16:00:22.152606Z digest=sha256:8695c505a8d440aaa3301b5276d25f85abc331bb43a2e0b64dfe6a2f51c61621

Observation 705ca390-014e-4ddf-95d8-57da1f121014 · inbound

EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction cites this paper.

EigeNet: Geometry-Informed Multi-Modal Learning for Few-shot Novel View RIR Prediction Hearing Anywhere in Any Environment

Reference 26

Resolution
verified exact
arxiv_id, observed 2026-06-29T13:23:28.915731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T10:25:14.873276Z digest=sha256:6312e8b0c547f0e11a6d36d796cd21f2baef5019c1cfcc7fd8ed5df887441795