Paper Citation Record · LEDGER

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning

As of 22 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 2 inbound Pith citation observations for arXiv:1908.08529.

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

pith.paper-citation-record.v1
1908.08529 v1

Coverage vector

measured 42 of 42 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:42:45.434477Z

measured 44 of 44 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T21:46:41.404184Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T19:25:35.415589Z

Reference resolution

42 of 42 outbound references displayed

verified exact0
verified fuzzy32
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 600ac2fd-9328-479b-bec9-bd6b0d5fd3ed · outbound

This paper cites Bottom-up and top-down attention for image captioning and visual question answering.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Bottom-up and top-down attention for image captioning and visual question answering

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.866305Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0ad8e2ad-3a55-44c7-b033-575038a10565 · outbound

This paper cites an unresolved cited work.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Unresolved cited work

Reference 2

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:42:45.856501Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 70c4358a-c372-47a0-8a9e-28ea019f5223 · outbound

This paper cites Blei, and Michael I.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Blei, and Michael I

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.846996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 704f534c-a71a-4169-897a-cefa146331b5 · outbound

This paper cites an unresolved cited work.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:42:45.837080Z

Source-reported events for the cited work

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Observation 4a0c29a6-a3c4-4087-adee-03385d10adcb · outbound

This paper cites One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning One Billion Word Benchmark for Measuring Progress in Statistical Language Modeling

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-14T11:42:45.313161Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d61e6592-34db-4a61-a9b0-3495c4ca64ce · outbound

This paper cites Mind’s eye: A recur- rent visual representation for image caption generation.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Mind’s eye: A recur- rent visual representation for image caption generation

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.827491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2246525e-459b-4cae-b88b-ef0159ef17eb · outbound

This paper cites De- scribing multimedia content using attention-based encoder- decoder networks.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning De- scribing multimedia content using attention-based encoder- decoder networks

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.817531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b4f6355a-7844-4741-a3d2-b227c64d4941 · outbound

This paper cites A recurrent la- tent variable model for sequential data.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning A recurrent la- tent variable model for sequential data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.807537Z

Source-reported events for the cited work

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Observation 352c2f3d-4396-4aac-a944-2564741392dc · outbound

This paper cites To- wards diverse and natural image descriptions via a condi- tional gan.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning To- wards diverse and natural image descriptions via a condi- tional gan

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.797929Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 5afc8ada-e634-471b-a51d-8f7d43781268 · outbound

This paper cites Schwing, and David Forsyth.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Schwing, and David Forsyth

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.788332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation d9039ba8-40fd-4808-9adf-520e7e4ba2ff · outbound

This paper cites Exploring Nearest Neighbor Approaches for Image Captioning.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Exploring Nearest Neighbor Approaches for Image Captioning

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-14T11:42:45.333632Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e2beee5-4c90-44a8-9036-bef619024f81 · outbound

This paper cites Long-term recurrent convolutional net- works for visual recognition and description.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Long-term recurrent convolutional net- works for visual recognition and description

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.778463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4761cb56-8639-4782-8b4d-282539e9fef0 · outbound

This paper cites From captions to vi- sual concepts and back.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning From captions to vi- sual concepts and back

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.768594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 3768b671-a6ad-44ed-8e80-43617fa3a930 · outbound

This paper cites Every picture tells a story: Generating sentences from images.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Every picture tells a story: Generating sentences from images

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.758433Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation bc86d92f-13ff-48e9-ac3a-6f85ad0d0fb2 · outbound

This paper cites Sequential neural models with stochastic lay- ers.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Sequential neural models with stochastic lay- ers

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.748850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 57fe8c85-8398-4484-9e77-5f51c75d4c87 · outbound

This paper cites Generative Adversarial Networks.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Generative Adversarial Networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.739150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 40a71266-e5e1-4a98-9171-6fbf80f0824a · outbound

This paper cites Z-forcing: Training stochastic recurrent networks.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Z-forcing: Training stochastic recurrent networks

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.729356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation fd76bcec-3593-4985-a043-1aadc5714142 · outbound

This paper cites Long short-term memory.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Long short-term memory

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.719499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c64d429c-2141-4544-866b-0f24b7178907 · outbound

This paper cites an unresolved cited work.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Unresolved cited work

Reference 19

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:42:45.709913Z

Source-reported events for the cited work

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Observation 7b0a9ca3-ff94-4fa4-bc10-e15c7f1b4892 · outbound

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Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-14T11:42:45.699264Z

Source-reported events for the cited work

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Observation 208f81c8-242e-4491-9f13-df0e2dfce9ac · outbound

This paper cites Densecap: Fully convolutional localization networks for dense caption- ing.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Densecap: Fully convolutional localization networks for dense caption- ing

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.688616Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 73d04d50-909b-413f-b31c-09bf6e17a5e3 · outbound

This paper cites Deep visual-semantic align- ments for generating image descriptions.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Deep visual-semantic align- ments for generating image descriptions

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.678274Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e1e2bd66-e51e-47f9-a294-90ffcab1ba8d · outbound

This paper cites Semi-supervised learning with deep gen- erative models.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Semi-supervised learning with deep gen- erative models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.668560Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4ee4aba7-4ecd-417b-8683-788a00074d8f · outbound

This paper cites Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Unifying Visual-Semantic Embeddings with Multimodal Neural Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-14T11:42:45.375598Z

Source-reported events for the cited work

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Observation df5142b0-c528-4986-84b6-f42a6e883515 · outbound

This paper cites Babytalk: Understanding and generating simple image descriptions.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Babytalk: Understanding and generating simple image descriptions

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.659261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 4c43c69b-3cbb-42b5-a172-e45c2c8639f4 · outbound

This paper cites Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Generating Diverse and Accurate Visual Captions by Comparative Adversarial Learning

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-14T11:42:45.382255Z

Source-reported events for the cited work

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Observation a9e20b80-8a94-41fb-b1f9-eb8e1accf9d7 · outbound

This paper cites Microsoft coco: Common objects in context.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Microsoft coco: Common objects in context

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.649498Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c0333e07-efa2-4da9-91ad-fd96bad3056b · outbound

This paper cites Improved Image Captioning via Policy Gradient optimization of SPIDEr.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Improved Image Captioning via Policy Gradient optimization of SPIDEr

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-14T11:42:45.389128Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47a82e14-cb06-49f6-9be2-9c9bedde142f · outbound

This paper cites Visualizing data using t-sne.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Visualizing data using t-sne

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.640143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 8cc3889c-38b9-425d-8b3f-bc652e4a40dc · outbound

This paper cites Deep Captioning with Multimodal Recur- rent Neural Networks (m-rnn).

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Deep Captioning with Multimodal Recur- rent Neural Networks (m-rnn)

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.630316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation b96efe42-5d23-4076-ae91-e140963135b3 · outbound

This paper cites Peters, Mark Neumann, Mohit Iyyer, Matt Gard- ner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Peters, Mark Neumann, Mohit Iyyer, Matt Gard- ner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.620604Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 2d64583b-0804-43c5-bb9c-2660676d9322 · outbound

This paper cites Faster R-CNN: Towards real-time object detection with re- gion proposal networks.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Faster R-CNN: Towards real-time object detection with re- gion proposal networks

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.610463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 48095380-5270-489c-83d5-7f1d2bf4c63e · outbound

This paper cites Rennie, Etienne Marcheret, Youssef Mroueh, Jarret Ross, and Vaibhava Goel.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Rennie, Etienne Marcheret, Youssef Mroueh, Jarret Ross, and Vaibhava Goel

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.600438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 95cfd86f-7ddc-41da-9446-d14dc90bf09a · outbound

This paper cites Speaking the same language: Matching machine to human captions by adversarial training.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Speaking the same language: Matching machine to human captions by adversarial training

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.590795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9b07a541-d1f1-413a-8a2e-9cc62ef1aaa8 · outbound

This paper cites Very Deep Convolutional Networks for Large-Scale Image Recognition.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Very Deep Convolutional Networks for Large-Scale Image Recognition

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-14T11:42:45.411699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b303fbd-b57d-4faa-9d62-e1dc3ac18f15 · outbound

This paper cites Grounded compositional se- mantics for ﬁnding and describing images with sentences.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Grounded compositional se- mantics for ﬁnding and describing images with sentences

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.581217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation c28f4082-3ab6-40b7-ba27-fc0a244b6db9 · outbound

This paper cites Learning structured output representation using deep conditional gen- erative models.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Learning structured output representation using deep conditional gen- erative models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.570755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 7b1ae024-3194-4b9f-aced-105cfa49217c · outbound

This paper cites Vijayakumar, Michael Cogswell, Ramprasaath R.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Vijayakumar, Michael Cogswell, Ramprasaath R

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.559475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 26be94f5-f1d4-42dc-a90b-8f950b17142e · outbound

This paper cites Show and tell: A neural image caption gen- erator.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Show and tell: A neural image caption gen- erator

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.549246Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation ad615eb0-5e96-4094-b6ea-c2ab1c973442 · outbound

This paper cites Schwing, and Svetlana Lazebnik.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Schwing, and Svetlana Lazebnik

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.538789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 0df11933-7117-4beb-bf17-095f49a22be9 · outbound

This paper cites Show, attend and tell: Neural image caption gen- eration with visual attention.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Show, attend and tell: Neural image caption gen- eration with visual attention

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.529150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation 9dea1fe9-f5c4-426d-b8c7-69f932ab3682 · outbound

This paper cites Boosting image captioning with attributes.

Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning Boosting image captioning with attributes

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T11:42:45.518544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Pith citing papers

Observation f4ac3de0-ec1d-4fd2-9dd6-d203e4c0f0fa · inbound

Image Embedding Sampling Method for Diverse Captioning cites this paper.

Image Embedding Sampling Method for Diverse Captioning Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning

Reference 5

Resolution: verified exact; local_arxiv, observed 2026-08-07T19:25:35.475849Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation a7168d6e-c615-4cb9-ab9e-ecd1c3c81e91 · inbound

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models cites this paper.

Variational Prefix Tuning for Diverse and Accurate Code Summarization Using Pre-trained Language Models Sequential Latent Spaces for Modeling the Intention During Diverse Image Captioning

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-15T21:46:41.404184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.