Pith. sign in

Paper Citation Record · LEDGER

DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2105.03300.

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

pith.paper-citation-record.v1
2105.03300 v1

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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:24:23.416343Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T07:37:45.385298Z

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 432d37dd-ca8b-43d2-a880-e5b918dbd239 · inbound

Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark cites this paper.

Evaluating Recabilities of Foundation Models: A Multi-Domain, Multi-Dataset Benchmark DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

Reference 7

Resolution
unresolved
no resolver link, observed 2026-08-05T14:24:23.416343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:24:23.416343Z digest=sha256:13fa5e6badcc5794ac7c89f52436b073bd3b8c33392f90f04a7a7455a7cab4ba

Observation 4652d725-4b9c-482e-91f1-7bc47ccf9c60 · inbound

LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training cites this paper.

LLM-EDT: Large Language Model Enhanced Cross-domain Sequential Recommendation with Dual-phase Training DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-05-21T19:00:30.515965Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-21T18:55:30.801439Z digest=sha256:e44fb01656af5b1f19cddaca544ddcaabfbb23076e43f436924cf9d7245d413e

Observation c214ae6b-c8f0-493f-83d4-0572e3205b08 · inbound

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation cites this paper.

SemaCDR: LLM-Powered Transferable Semantics for Cross-Domain Sequential Recommendation DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-16T09:47:42.006245Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-16T09:42:46.410740Z digest=sha256:b085b1cda92415dbb4b7b4732ee58e6d605a5e9ca3deaa67847398dbddfa0b2d

Observation 161f6da1-3b4d-4c51-8f88-22b9f963e0a2 · inbound

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation cites this paper.

Federated User Behavior Modeling for Privacy-Preserving LLM Recommendation DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-10T10:09:06.462646Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-10T10:08:51.386465Z digest=sha256:3c5e9a85e306a073356a67cc2e9bba7141de799f3e0ac8950c0452309de45655

Observation 642e8e38-0834-43ce-8633-9eb53c097684 · inbound

Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations cites this paper.

Atomic Intent Reasoning: Bringing LLM Semantics to Industrial Cross-Domain Recommendations DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

Reference 19

Resolution
verified exact
arxiv_id, observed 2026-07-03T07:37:45.386788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-27T11:59:14.825362Z digest=sha256:4647305ada118a61d942b821ab66e918c1545568bf6d376e54dc8b5fd64d1fb8

Observation 2b656c4a-f332-4b3f-ac0a-df79b03ca15e · inbound

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation cites this paper.

Sharpness-aware Model Merging with Salience Recovery for LLM-based Cross-Domain Sequential Recommendation DA-GCN: A Domain-aware Attentive Graph Convolution Network for Shared-account Cross-domain Sequential Recommendation

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-01T02:42:44.787612Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T02:42:44.787612Z digest=sha256:ec61727410bd10a3ee8b86b6af583d6f211c2f02a0647d0f4066de35abeeeb90