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Paper Citation Record · LEDGER

NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2412.10726.

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

pith.paper-citation-record.v1
2412.10726 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-14T13:42:23.610697Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T21:18:59.491529Z

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 46060bfd-e59e-485d-9da4-81ab370387ec · inbound

DarkQA: Benchmarking Vision-Language Models on Visual-Primitive Question Answering in Low-Light Indoor Scenes cites this paper.

DarkQA: Benchmarking Vision-Language Models on Visual-Primitive Question Answering in Low-Light Indoor Scenes NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-05-16T18:43:16.505575Z

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=pdf_text observed=2026-05-16T18:42:01.266249Z digest=sha256:6f3982a2127c4a6208cba13ebf8aa65bed00fc2321c5730a3fd1e2f37b0ecd5d

Observation b2ab6abe-37ea-4a80-a0c9-01f7331e0eea · inbound

Extending Embodied Question Answering from Perception to Decision cites this paper.

Extending Embodied Question Answering from Perception to Decision NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries

Reference 55

Resolution
verified exact
arxiv_id, observed 2026-06-29T21:33:58.966103Z

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=pdf_text observed=2026-06-29T21:30:40.182958Z digest=sha256:49bd9e75cd414f657ba353150cf3614e77b7b67035adc56c42368f76b0cd27d5

Observation f8bfa398-bf03-4152-92de-22614aef5712 · inbound

ERQA-Plus: A Diagnostic Benchmark for Reasoning in Embodied AI cites this paper.

ERQA-Plus: A Diagnostic Benchmark for Reasoning in Embodied AI NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-03T21:18:59.493163Z

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=pdf_text observed=2026-06-27T00:41:53.170990Z digest=sha256:750dd16272a9c6e3e718927aeafabe4cb2af20e49e8766b323a6d301ff2a87ad

Observation 8b2825cb-e159-4977-958f-d5338ee6b098 · inbound

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception cites this paper.

ActiveFly-Bench: Aligning Embodied Question Answering with Vision-Language-Action for Aerial Embodied Perception NoisyEQA: Benchmarking Embodied Question Answering Against Noisy Queries

Reference 34

Resolution
unresolved
no resolver link, observed 2026-07-14T13:42:23.610697Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-14T13:42:23.610697Z digest=sha256:54ee1c378352bc9e66add9f83806bcb30b4c5a777b517659bf3d6ce5b08222ab