Paper Citation Record · LEDGER

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering

As of 17 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 0 inbound Pith citation observations for arXiv:2505.08155.

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

pith.paper-citation-record.v1
2505.08155 v4

Coverage vector

measured 12 of 12 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T22:10:40.357136Z

measured 12 of 12 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

12 of 12 outbound references displayed

verified exact0
verified fuzzy7
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 68fa2f67-5fa2-4100-b007-6f8d426ff5de · outbound

This paper cites Adapting Neural Link Predictors for Data-Efficient Complex Query Answering.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering Adapting Neural Link Predictors for Data-Efficient Complex Query Answering

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:40.269875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a0668f3f-3066-4e9c-8c2f-63aea1dc9086 · outbound

This paper cites GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering GammaE: Gamma Embeddings for Logical Queries on Knowledge Graphs

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:40.307343Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 20857c86-a92e-4b93-ae8f-26b784060417 · outbound

This paper cites an unresolved cited work.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:10:41.305169Z

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.

Observation d5b11602-b2da-4226-a64c-8b8e3903f120 · outbound

This paper cites an unresolved cited work.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering Unresolved cited work

Reference 5

Resolution: unresolved; raw_fallback, observed 2026-08-15T22:10:41.288523Z

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.

Observation 8953b0a8-6920-48b3-93a6-76b8f0db65e3 · outbound

This paper cites NLISA maintains a smaller fuzzy vector by preserving only the indices within the relevant domains, resulting in greater flexibility.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering NLISA maintains a smaller fuzzy vector by preserving only the indices within the relevant domains, resulting in greater flexibility

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:41.182374Z

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.

Observation f432a6fe-e168-4cbc-9eed-1b682fc752d8 · outbound

This paper cites 3 and Fig.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering 3 and Fig

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:41.158073Z

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.

Observation 27e6d419-77cd-41d1-b423-c1fa46ad6389 · outbound

This paper cites Chen, H., Dalmau, V ., and Grußien, B.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering Chen, H., Dalmau, V ., and Grußien, B

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:41.320679Z

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.

Observation e1f3218b-300e-4589-81f8-e65677ce25dd · outbound

This paper cites Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering Neural-Symbolic Reasoning over Knowledge Graphs: A Survey from a Query Perspective

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-15T22:10:40.292670Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 73c74fe3-f594-4d31-a07c-67b8296a3a2a · outbound

This paper cites Recently, Tsang et al.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering Recently, Tsang et al

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:41.266762Z

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.

Observation 0ffbd7fd-0a99-4650-ae43-e7f57217616e · outbound

This paper cites In particular, the neural symbolic search method combining the knowledge graph embedding with symbolic search is of particular interest.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering In particular, the neural symbolic search method combining the knowledge graph embedding with symbolic search is of particular interest

Reference 2022

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:41.243154Z

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.

Observation 307de3ba-093d-40ff-bc59-6ffb2b6fdba9 · outbound

This paper cites CQD-CO uses gradient optimization to estimate the embedding of existential variables (Arakelyan et al., 2020).

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering CQD-CO uses gradient optimization to estimate the embedding of existential variables (Arakelyan et al., 2020)

Reference 2023

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:41.223139Z

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.

Observation f47c0df2-5a7d-477b-8391-e1a2dadd098a · outbound

This paper cites However, the complexity is|E|n (Yin et al., 2024), where n is the variable number of query.

Efficient and Scalable Neural Symbolic Search for Knowledge Graph Complex Query Answering However, the complexity is|E|n (Yin et al., 2024), where n is the variable number of query

Reference 2024

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T22:10:41.204927Z

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.

Pith citing papers

No inbound Pith citation observations are available.