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Paper Citation Record · LEDGER

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning

As of 15 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.06592.

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

pith.paper-citation-record.v1
1908.06592 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:44:25.983358Z

measured 28 of 28 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

28 of 28 outbound references displayed

  • verified exact1
  • verified fuzzy16
  • unresolved11
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b26b148e-bf6e-40e6-af3e-62b52e7c2b00 · outbound

This paper cites Spice: Semantic propositional image cap- tion evaluation.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Spice: Semantic propositional image cap- tion evaluation

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.281048Z

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=2026-08-14T12:44:25.885931Z digest=sha256:c4d140672860c11d037cc25f12dfc3c6d6f670e07b08a294301b5ecf404511c8

Observation 8901b50f-58a2-4d60-9542-9f7174236aa7 · outbound

This paper cites Neural Machine Translation by Jointly Learning to Align and Translate.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Neural Machine Translation by Jointly Learning to Align and Translate

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-14T12:44:25.890353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:25.890353Z digest=sha256:6be19ff5cfdfe4290d464b134845af49888bf5a98ee927723f84f042636f9099

Observation f84acf5f-4901-463a-bc7a-7dd9b35dfbe4 · outbound

This paper cites Massive Exploration of Neural Machine Translation Architectures.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Massive Exploration of Neural Machine Translation Architectures

Reference 3

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unresolved
no resolver link, observed 2026-08-14T12:44:25.894592Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:25.894592Z digest=sha256:a1a8ce941c2f01c8342c4c90fca6f2f3b4d16313d51ee2514885ee6471725c98

Observation e5577742-9338-42d8-aae3-078b70a2fe9d · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-14T12:44:25.898817Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:25.898817Z digest=sha256:c3020b9489926b4f60777e4177ff551acfd97fd37f1f198f24e219b08d6eece1

Observation c55f6f70-3492-4e47-82fe-08de8147ed6d · outbound

This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-14T12:44:25.903032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:25.903032Z digest=sha256:c9f85bf62441e185335b43e95c3c93e24144cc038185ff0e2c49a198eb4e0ff8

Observation 264a0d97-be1f-41be-8c01-64a2b5bb44ed · outbound

This paper cites CenterNet: Keypoint Triplets for Object Detection.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning CenterNet: Keypoint Triplets for Object Detection

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T12:44:25.907253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:25.907253Z digest=sha256:9cb46967bd88b30c97c63ed2eac292ed931ce38ea21a4d439fc70ac97793f1d3

Observation 8f81b4d6-1eb8-4c98-be14-6b98d435453d · outbound

This paper cites Generat- ing multiple objects at spatially distinct locations.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Generat- ing multiple objects at spatially distinct locations

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.271530Z

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=2026-08-14T12:44:25.911373Z digest=sha256:9ed3e935bd20cc1e54ab936bbe41adf96aea2cd5ffabde94a356f7b586fc855d

Observation d44f27ad-45a5-47c8-8e21-7546c51509d8 · outbound

This paper cites Long short-term memory.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Long short-term memory

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.262268Z

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=2026-08-14T12:44:25.915021Z digest=sha256:483bafd26054e2473fe705709e6b3a24d1e4942c65b5ce7812eae01fb99ae536

Observation dae6373c-2601-4d35-8057-12d026108140 · outbound

This paper cites Inferring semantic layout for hierarchical text- to-image synthesis.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Inferring semantic layout for hierarchical text- to-image synthesis

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.252985Z

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=2026-08-14T12:44:25.918747Z digest=sha256:e86950128809a5a221b8e1443ea0cbcfbb21158ddffce498ae1eb3789bd7f23e

Observation 778454df-2229-42e0-b426-a7ca290b8012 · outbound

This paper cites Image gener- ation from scene graphs.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Image gener- ation from scene graphs

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.243533Z

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=2026-08-14T12:44:25.922345Z digest=sha256:9dfa146663837cf33d5d4eebf836b80b348cb3f98b3a3dbab911a2a2b9db2636

Observation 89e594d3-b72a-421d-ad7b-3614c793a302 · outbound

This paper cites Image retrieval using scene graphs.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Image retrieval using scene graphs

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.233997Z

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=2026-08-14T12:44:25.925875Z digest=sha256:9e50fa4de8da9d42af010e39ec3fbe68d784029d09294658dd3ca969c12cb18d

Observation ed0ebc8f-44e2-4093-bc47-84df92d9b9f0 · outbound

This paper cites OpenNMT: Open-source Toolkit for Neural Machine Translation.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning OpenNMT: Open-source Toolkit for Neural Machine Translation

Reference 12

Resolution
verified exact
local_arxiv, observed 2026-08-14T12:44:26.037515Z

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=2026-08-14T12:44:25.928990Z digest=sha256:37b83822e52562c51222948379487e19616ddf062f857fe6d34e432f04532efb

Observation d15c3d7f-2659-4e03-a974-40a60bd64dd1 · outbound

This paper cites Shamma, Michael S.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Shamma, Michael S

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.224802Z

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=2026-08-14T12:44:25.932775Z digest=sha256:186c09ec3e801ce842b1ab4033fc934218472d753e1b21fb968d11d54eebe6a8

Observation 6dbbad70-ba69-43b0-9748-4b2b70a15029 · outbound

This paper cites Visual relationship detection with language priors.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Visual relationship detection with language priors

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.215097Z

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=2026-08-14T12:44:25.936072Z digest=sha256:75fb90adf2eac757c19e55c16396c2122e6d40a183d0244f8686bdbca6c708d4

Observation 62748695-3bc7-47d9-a3c0-d3d867ac6eb2 · outbound

This paper cites Bleu: A method for automatic evaluation of machine translation.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Bleu: A method for automatic evaluation of machine translation

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.205361Z

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=2026-08-14T12:44:25.939409Z digest=sha256:91f23997132814f808afbb3fb92f6b2f8b58f83a6ac8086c76ad84b4fe303f2f

Observation 9e8bc99d-dc6b-46dc-b7c2-4646e3c27c66 · outbound

This paper cites Mirrorgan: Learning text-to-image generation by redescrip- tion.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Mirrorgan: Learning text-to-image generation by redescrip- tion

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.196059Z

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=2026-08-14T12:44:25.942707Z digest=sha256:66db8f24616bbc86c41f203c2af610055569e801afcdc0b43637504bb2aa30e3

Observation 18f435cc-d471-4191-8e6a-04904abb6ace · outbound

This paper cites Sequence Level Training with Recurrent Neural Networks.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Sequence Level Training with Recurrent Neural Networks

Reference 17

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no resolver link, observed 2026-08-14T12:44:25.946032Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:25.946032Z digest=sha256:13b3151769ff2c3ae45ccc3b5886b4a9907dc54a9fb6ac082560b38503de29a0

Observation e66b7ac7-ae7a-4216-82c9-d3a0571149f1 · outbound

This paper cites an unresolved cited work.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Unresolved cited work

Reference 18

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:44:26.186249Z

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.

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Observation b93774d4-13ac-402b-a4ff-e648cc0305d0 · outbound

This paper cites Sequence to sequence learning with neural networks.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Sequence to sequence learning with neural networks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.176779Z

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=2026-08-14T12:44:25.952594Z digest=sha256:19e94c687f93c216df7862fa47fc1a3e21d0f4c8c7bf31803580756fdf2ff5d5

Observation 4fd0b6a9-6993-468c-bbef-faa1d3cba1b1 · outbound

This paper cites Text2scene: Generating compositional scenes from textual descriptions.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Text2scene: Generating compositional scenes from textual descriptions

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.166864Z

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=2026-08-14T12:44:25.955961Z digest=sha256:6e160f1dcecfcaedcdea44a523c68f38fffb781c5fd7543c348fc00a1a74dfad

Observation b9678e74-6172-41f7-95dd-1dd8ec0bcee6 · outbound

This paper cites Attention is all you need.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Attention is all you need

Reference 21

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verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.156035Z

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=2026-08-14T12:44:25.959247Z digest=sha256:75a835f38526a3edbb06af418408248ebaa711ddabebab87344f198862b8879b

Observation e6818dc8-0321-4097-a93c-51d81a36223f · outbound

This paper cites Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation

Reference 22

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no resolver link, observed 2026-08-14T12:44:25.963242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:44:25.963242Z digest=sha256:bf19afd3147bbcf15bc51c688c54e1a04babd3e7b40845cde418b287adca4f8c

Observation c10a7dbd-77c7-4fab-9332-9cbf63300021 · outbound

This paper cites Choy, and Li Fei-Fei.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Choy, and Li Fei-Fei

Reference 23

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verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.145482Z

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=2026-08-14T12:44:25.966826Z digest=sha256:879a4844e6b7c05d83b99e64bfb165ca17421231ffd5c0df7b60d70e9b4923a4

Observation 33e9c5ad-1371-4cc1-a89e-89aa986b8a61 · outbound

This paper cites an unresolved cited work.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Unresolved cited work

Reference 24

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:44:26.134173Z

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=2026-08-14T12:44:25.970184Z digest=sha256:75d38b9842186298769643880ddb34bab0ef73a0d21497af5acf79bdcf1ca6b9

Observation 1f9f370d-af36-4807-ac70-e434d18ccd78 · outbound

This paper cites Bridging the gap between training and inference for neural machine translation.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Bridging the gap between training and inference for neural machine translation

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.123339Z

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=2026-08-14T12:44:25.973537Z digest=sha256:beaf6b1c5b0902133a70c67c77a00786450b2bf05d6449bbf9987071df6de07c

Observation ca53c075-91f4-4baf-ab57-d9cf48f53ab6 · outbound

This paper cites Image generation from layout.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Image generation from layout

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:44:26.112791Z

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=2026-08-14T12:44:25.976815Z digest=sha256:5214b86a80a51845dec5fa5c7d0f8a7e924941d9c2a8130dab2d5359544da3aa

Observation 284ee0d1-907a-440c-bfea-effe4283454a · outbound

This paper cites an unresolved cited work.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Unresolved cited work

Reference 27

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:44:26.102024Z

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=2026-08-14T12:44:25.980069Z digest=sha256:b78e375706fe4f6af5499196a6efa0d300eb05b04560a17956a136cf5febcbc5

Observation 9ade79c1-6420-4542-a62b-a4345db3ea2f · outbound

This paper cites an unresolved cited work.

Seq-SG2SL: Inferring Semantic Layout from Scene Graph Through Sequence to Sequence Learning Unresolved cited work

Reference 28

Resolution
unresolved
raw_fallback, observed 2026-08-14T12:44:26.091977Z

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=2026-08-14T12:44:25.983358Z digest=sha256:18c22c19f424846b54aa59549c1653d9e1d285ede13b50d2efc6208d8b135267

Pith citing papers

No inbound Pith citation observations are available.