Pith. sign in

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=sha256:2c7a0f39765a30453ff03c52604f0ef4cb22f6d4c48a8552bab6c0f2bccc7d11

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=sha256:18961b799974ca6e766e70c0eef19d6e2a75da2d847721489ae7a39d89382038

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

Resolution
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:cd056a81fb9be2f0ab7930cc5a197a88d7979e312da4117e0849a3b44cdc4470

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:cbc86802a38394df1e53bdc067e6c8ae621d2d3674b6318ef8b713d0d3a34dc5

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=sha256:1d5e80e0f7bed2913e63dcc6c5688aefc08a4f27cbb7be15673646f175ae429f

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=sha256:72e87884a0b3e3213a353051a1cf988fa568f4ce57d49317b8e88f7c46dd4780

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=sha256:5e49840961f2b69a07ce75c824ade3007f707bd456127a7053c1d850097db42a

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=sha256:563d1b56d5e9bbe5d51e8c3f834fd7505d9d7455c86819ef9868a6bc98df265d

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=sha256:83b83f92339b52fe43177f82959f30851a32f3ffda3219e1abad38d7f3adc9af

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=sha256:19e2b5bdcd23682e56268f0dfe77ea62153cd6677e24d19898895066371d4f3b

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=sha256:741c49c82819e506934e5d6dd8125ff6765105044fbf25b294b07d7aab693f7e

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=sha256:46978edf79255e96b31710221c1e7365a16a7a324622b23f9cbbf19f29dcaa41

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=sha256:0d2d113a4660d20ca0df25b5ad5cec072a3b77e07ddbcf7ea5b215b8ab67f852

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=sha256:3a391cddfa6fd7f0d6bf8845342a28cd94ad561a97ba8e8a5bcdcb30c03ccca7

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:dbd5832c9db3369ca0b6a9b363dd3cb0bfb988492a047b1b6b769d7afedb5222

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:c5921433c73225935cbe65a35063845e73642868ad0921e0210fae9832dbeaea

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

Resolution
unresolved
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:bdb5fc4b58c57cc6c376c2d0396865684e85c3ee736594fac28a5f3f0e30561a

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.

source=pdf_text observed=2026-08-14T12:44:25.949283Z digest=sha256:647e066c384915cfda9fedfd07f84d317bf417d47cc54821cfe9ebe01fe46a3f

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=sha256:7297a9bcd27320e162a86a853a95c40ee5128594007feaa81263cdeead09f3fe

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=sha256:9c6121cfeb9364da4f11e1c3e9f1b46d8a50a3a056ce13ef4a4c323703614057

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

Resolution
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=sha256:9e2f3347c2e85c547e9c042585dde05fa0790cec9a5b19caaa65588b37dbee83

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

Resolution
unresolved
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=sha256:67d62a7b8016a7f7cb7f65a912941fa262651745afd6e05ff965b5d7f58bf89f

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

Resolution
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:dfcefbeb08f5dcded32814dfdc0cd2d50d2d0d09a6132819ef30469a802c5772

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:aa55c932f037cc6cb4dec86d6a901b30031585d4cdc4888decb77d613fe8b6be

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=sha256:5f94afba016629da38c32e374112beb5d9c14a9c0c58ca47ce1814f922e61442

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=sha256:702bf22d951a2731eded212edd447b49aa4a5809c67bba2506a3370ae67459ce

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=sha256:2f06b843f2d5c4f7cd1e78fac083b31394ea8711a8a32463592b85f26f8bba3b

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=sha256:9109d2c011cd91e3c97aea4eb1398ed46f64a96b740df44655b7719a521b9a9e

Pith citing papers

No inbound Pith citation observations are available.