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Paper Citation Record · LEDGER

Domain-adversarial Network Alignment

As of 17 August 2026, this Paper Citation Record lists 28 of 28 outbound references and 0 inbound Pith citation observations for arXiv:1908.05429.

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

pith.paper-citation-record.v1
1908.05429 v1

Coverage vector

measured 28 of 28 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T13:17:04.103397Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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 exact0
  • verified fuzzy24
  • unresolved4
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 04b570b8-0bb9-4856-9afb-b7719186258d · outbound

This paper cites Lgl: creating a map of protein function with an algorithm for visualizing very large biological networks.

Domain-adversarial Network Alignment Lgl: creating a map of protein function with an algorithm for visualizing very large biological networks

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.544922Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:03.973693Z digest=sha256:eb697eb1f04030815fd1bb94892d438ee5d66c8ddae7b02bacf507a0d116f8e7

Observation 116c1501-1574-427f-8fbc-2073f8aa75f1 · outbound

This paper cites Asnets: A benchmark dataset of aligned social networks for cross-platform user modeling.

Domain-adversarial Network Alignment Asnets: A benchmark dataset of aligned social networks for cross-platform user modeling

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.529219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:03.979269Z digest=sha256:385008f9232b913fdf7dc1a9d6b202e15b2a312c0b808c68ed972fdeef249ed1

Observation de987d40-66f7-48e8-83b4-3631b8385fce · outbound

This paper cites Adversarial network embedding.

Domain-adversarial Network Alignment Adversarial network embedding

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.512812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:03.984328Z digest=sha256:7fbed023876be88dd4ddfa2f17f63329e67e8e49f1b5858757816b7bc6cb67f3

Observation c325ea8c-15ed-4460-bf5b-8afe10bbafc4 · outbound

This paper cites Convolutional neural networks on graphs with fast localized spectral /f_iltering.

Domain-adversarial Network Alignment Convolutional neural networks on graphs with fast localized spectral /f_iltering

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.497350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:03.989394Z digest=sha256:4927061963d6aadf9de56ca68e69c2ff7aa9a2e2e45854578e739692ded93482

Observation f5838ad2-28ca-4ad5-8a80-438e976188ef · outbound

This paper cites Domain- adversarial training of neural networks.

Domain-adversarial Network Alignment Domain- adversarial training of neural networks

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.481161Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:03.994412Z digest=sha256:58e5b445099b54b204d2bd27d94a3354fd7e09bfc3be7c6750bab3fdb9c3a85f

Observation fc87475b-0909-4850-932b-17d0c3cd3c95 · outbound

This paper cites Generative adversarial nets.

Domain-adversarial Network Alignment Generative adversarial nets

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-14T13:17:03.999513Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:17:03.999513Z digest=sha256:da3590082f0842ad9bd9f73c58b1e1c3398a96bfbcdd035c68752e44720c40f3

Observation 8a0d502a-178b-4413-919e-030a7f1b6ce6 · outbound

This paper cites On Using Very Large Target Vocabulary for Neural Machine Translation.

Domain-adversarial Network Alignment On Using Very Large Target Vocabulary for Neural Machine Translation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-14T13:17:04.004466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:17:04.004466Z digest=sha256:d8ba10ffa5300d9a503751519834c38573a951f0d7c5f7abdc516401a70c6f07

Observation 1e3e282d-1d7f-477c-8029-122db2e01596 · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

Domain-adversarial Network Alignment Semi-Supervised Classification with Graph Convolutional Networks

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-14T13:17:04.009220Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:17:04.009220Z digest=sha256:cca249130bfad38461436f3992b4ec27fa54de8fd8bea6ea49958cbc20ff10fd

Observation ba5add07-e6c8-49c5-a7ec-b7182ca11564 · outbound

This paper cites Deeper insights into graph convo- lutional networks for semi-supervised learning.

Domain-adversarial Network Alignment Deeper insights into graph convo- lutional networks for semi-supervised learning

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.456369Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.014846Z digest=sha256:bb9c75a4ce1639bb7f6ef19964fe3536855f1547068cf78c19e38bc1e6ed0b70

Observation 47e08d83-4a35-49a5-9a3f-6ec3367147a2 · outbound

This paper cites Adversarial learning for weakly-supervised social network alignment.

Domain-adversarial Network Alignment Adversarial learning for weakly-supervised social network alignment

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.441830Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.020568Z digest=sha256:167190a52e2a5de5f49557230cc8f430c7cc96305e165b72b54ce22eb990075d

Observation 32c2c140-b630-4819-97ac-86710d27cd51 · outbound

This paper cites Aligning users across social networks using network embedding.

Domain-adversarial Network Alignment Aligning users across social networks using network embedding

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.427608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.025211Z digest=sha256:0754db078fa9bedcc8bad332dd47ca8b315eaf9a27790966aebf9dd790ff3ae3

Observation 59b623cf-7c59-4811-a0d0-c725a5faa967 · outbound

This paper cites Predict anchor links across social networks via an embedding approach.

Domain-adversarial Network Alignment Predict anchor links across social networks via an embedding approach

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.412446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.030416Z digest=sha256:d521c320a84d16b174e291f10dee3214be3979adf8b248fa8847bbd1a1f1fd19

Observation 45d93657-8fcb-4b6b-9ae0-95819b1f2157 · outbound

This paper cites User identity linkage by latent user space modelling.

Domain-adversarial Network Alignment User identity linkage by latent user space modelling

Reference 13

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.397022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.035345Z digest=sha256:039d578232daa45b62d952d25e7ababfeded4ca828d5fe6c35244e6a90ee3b86

Observation 34f3b39c-bc57-4eea-a912-bc0b41775486 · outbound

This paper cites Cross-domain sentiment classi/f_ication via spectral feature alignment.

Domain-adversarial Network Alignment Cross-domain sentiment classi/f_ication via spectral feature alignment

Reference 14

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.381789Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.040191Z digest=sha256:04142981b946cdaefacc3d11228a12635947f0866aa261e0588e06a7cb391126

Observation f474c93c-f746-4236-bf29-141327726fc0 · outbound

This paper cites Deepwalk: Online learning of social representations.

Domain-adversarial Network Alignment Deepwalk: Online learning of social representations

Reference 15

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.366861Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.044730Z digest=sha256:c74ba8c1c0cd407ca32790f17a4fceae4fd7df0406c054b8e0e2ef04b319ae4e

Observation 15094c32-21ff-4a53-920d-e80e79fd1812 · outbound

This paper cites Evaluating web-based question answering systems.

Domain-adversarial Network Alignment Evaluating web-based question answering systems

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.353371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.049210Z digest=sha256:d241f63b1fe2f4ab376a947295565c09fa752d96a44a69ade31ca1041674dfb6

Observation 6ada6693-095e-4ac6-9ac3-fc1370b3f4b6 · outbound

This paper cites Modeling relational data with graph convolutional networks.

Domain-adversarial Network Alignment Modeling relational data with graph convolutional networks

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.339715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.054569Z digest=sha256:7efee8a9a9c7015d1633b2d487840f0271da16a6e1a5d79b0bceb29592349c35

Observation e5b1cd3f-20f2-43c8-bf6e-f254e70b5c83 · outbound

This paper cites Mapping users across networks by manifold alignment on hypergraph.

Domain-adversarial Network Alignment Mapping users across networks by manifold alignment on hypergraph

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.325497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.059894Z digest=sha256:9a9aa29717a08ce6b2b69d55b5d12797fc61c780f961c1fbe58839a00755143d

Observation be880833-7bf1-4d2a-9bf6-09c0165d5c51 · outbound

This paper cites Arnetminer: extraction and mining of academic social networks.

Domain-adversarial Network Alignment Arnetminer: extraction and mining of academic social networks

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.310945Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.064676Z digest=sha256:02d9d658b9ca619b10924ebfe88eb8dad880525de02f6c5e30cd3bc53d591521

Observation f15f60b3-f8bc-4a94-9f38-04a1ccffe865 · outbound

This paper cites Line: Large-scale information network embedding.

Domain-adversarial Network Alignment Line: Large-scale information network embedding

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.295937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.069073Z digest=sha256:7b6aa90031f426931e59044e40819690a9d529f5d37d649e6c6309d0823e417a

Observation ac64f8ad-c03f-4ef5-93fb-8eb4fcbc3d3d · outbound

This paper cites Irgan: A minimax game for unifying generative and discriminative information retrieval models.

Domain-adversarial Network Alignment Irgan: A minimax game for unifying generative and discriminative information retrieval models

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.281054Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.073957Z digest=sha256:6fbc1bd6ffbad27d2ed416b4573322cace076b99e04369b604e3261e46030364

Observation f3292fdc-1512-4dc3-bd8e-65cdd54e2a16 · outbound

This paper cites Graphgan: Graph representation learning with generative adversarial nets.

Domain-adversarial Network Alignment Graphgan: Graph representation learning with generative adversarial nets

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.264778Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.078867Z digest=sha256:602292ffd20b3889838c3c1a2204fc5abf532406ea79f3ebdefc9321cc4462d3

Observation ae881b17-72e1-4c6c-9f37-0e6abadb2817 · outbound

This paper cites A survey of transfer learning.

Domain-adversarial Network Alignment A survey of transfer learning

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.248669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.082948Z digest=sha256:7c086e50e72bcb98073abbffa12ae4815e06c6b51c2bb70bf4ef675fbd90bfca

Observation a27ca677-6679-48ae-8e96-90d4cc602e9b · outbound

This paper cites Evaluation measures (information retrieval) — Wikipedia, the free encyclopedia.

Domain-adversarial Network Alignment Evaluation measures (information retrieval) — Wikipedia, the free encyclopedia

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.234350Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.086795Z digest=sha256:1b0e6a7c15a584286ddc7cf3867eccaeea0f99a5c4aa44c0d48d3825dda2e8aa

Observation 06f67cf4-d3ec-487e-96fb-81f7220b05d3 · outbound

This paper cites Controllable invariance through adversarial feature learning.

Domain-adversarial Network Alignment Controllable invariance through adversarial feature learning

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.218626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.090727Z digest=sha256:ae150aba525bd397c2e52bdce240fad4250e7d2314ca0b40bfde2a920f199679

Observation 07066079-27ab-46c3-a334-79d93d115372 · outbound

This paper cites An information /f_low model for con/f_lict and /f_ission in small groups.

Domain-adversarial Network Alignment An information /f_low model for con/f_lict and /f_ission in small groups

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.204024Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.095410Z digest=sha256:939bc8c778e334eb61f15517663403608d75e6cc55045b1410a29a27dcd0919a

Observation 0199123b-ff54-458c-9e43-752b0fa96b0d · outbound

This paper cites Integrated anchor and social link predictions across social networks.

Domain-adversarial Network Alignment Integrated anchor and social link predictions across social networks

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T13:17:04.187608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=pdf_text observed=2026-08-14T13:17:04.099434Z digest=sha256:93b57d0d83f259bf99612aeb3eb6b3d76fe980c7452e53a5a03009565f048d46

Observation 1961356b-b8f4-49b4-89d1-f2fc44b4ad7e · outbound

This paper cites Adversarial Feature Matching for Text Generation.

Domain-adversarial Network Alignment Adversarial Feature Matching for Text Generation

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-14T13:17:04.103397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T13:17:04.103397Z digest=sha256:6eb7e717ecf484eaeb00b4bace5a4289426a6ba4a8dd17647df355abd7339508

Pith citing papers

No inbound Pith citation observations are available.