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Paper Citation Record · LEDGER

Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1412.6632.

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

pith.paper-citation-record.v1
1412.6632 v5

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-14T14:43:59.980770Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T14:36:11.630441Z

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 1fea4764-3dc6-4b55-8cd0-cb9487344e28 · inbound

Scene-based Factored Attention for Image Captioning cites this paper.

Scene-based Factored Attention for Image Captioning Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-14T14:43:59.980770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:43:59.980770Z digest=sha256:2d0f5071479e8210378717e48b829c4d7579c575a18adc3dc1b493aedc567438

Observation 9372e5a2-1967-4881-a111-d4756968f37b · inbound

Image Captioning using Facial Expression and Attention cites this paper.

Image Captioning using Facial Expression and Attention Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-14T14:33:31.735798Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T14:33:31.735798Z digest=sha256:803b38677364b26d8a5c74706d6d20b4ecd5d0f0f820e5a04606ea5823dffcf3

Observation f892467d-ca2b-4290-be9b-e074d09030a5 · inbound

Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework cites this paper.

Semi Supervised Phrase Localization in a Bidirectional Caption-Image Retrieval Framework Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T14:34:17.657128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T14:34:17.657128Z digest=sha256:dc2c3ac1d71fa3c7313a60c405add774b39faaf6dd7c7e1a82529f95ec351dbb

Observation 39242dbd-843a-48f6-81ab-dcbc58d14b51 · inbound

Aesthetic Image Captioning From Weakly-Labelled Photographs cites this paper.

Aesthetic Image Captioning From Weakly-Labelled Photographs Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-14T10:24:04.335521Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T10:24:04.335521Z digest=sha256:cd80cf1de044fff038f4f528165f94e3452db83fec8abab2decd6eca28786b6c

Observation 4cb85624-547c-4686-a38f-9dce7da8342b · inbound

Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning cites this paper.

Dynamic Stale Synchronous Parallel Distributed Training for Deep Learning Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Reference 12

Resolution
unresolved
no resolver link, observed 2026-08-14T12:59:07.303474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:59:07.303474Z digest=sha256:6f5cda6c4b5ec6ce6856d296deba9e45db8400b3b0f630a54d9b0ed52659b663

Observation b7a817f2-0297-4ab8-9bf8-0519ec504459 · inbound

UnMA-CapSumT: Unified and Multi-Head Attention-driven Caption Summarization Transformer cites this paper.

UnMA-CapSumT: Unified and Multi-Head Attention-driven Caption Summarization Transformer Deep Captioning with Multimodal Recurrent Neural Networks (m-RNN)

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-11T14:36:11.637073Z

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=2026-08-11T14:36:10.929525Z digest=sha256:15330f6308cf6e6fba3edfb72bbbe2066ed7069594a1e38e32e772f7c00dd0c6