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Paper Citation Record · LEDGER

Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1803.11439.

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

pith.paper-citation-record.v1
1803.11439 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 2026-08-16T06:30:59.297886+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:55:23.100124Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:50:19.358576Z

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 a8703fea-8a77-4915-a0c0-19963663f8b8 · inbound

Language Features Matter: Effective Language Representations for Vision-Language Tasks cites this paper.

Language Features Matter: Effective Language Representations for Vision-Language Tasks Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T12:55:23.100124Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:55:23.100124Z digest=sha256:1a5bcdc3ea94066853464bf60c14f6fabaf2a021d5d313b770a5f1ee7e6e6f9a

Observation f29e687c-2cd5-42ab-889c-d2f3c6092f24 · inbound

Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization cites this paper.

Show, Tell and Summarize: Dense Video Captioning Using Visual Cue Aided Sentence Summarization Regularizing RNNs for Caption Generation by Reconstructing The Past with The Present

Reference 16

Resolution
verified exact
local_arxiv, observed 2026-08-06T22:50:19.418898Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-08-06T22:50:16.710262Z digest=sha256:cf2e33751abfa84d1f14b3e53eb2a49313c126595f01e190cb30343a5016f543