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Paper Citation Record · LEDGER

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering

As of 14 August 2026, this Paper Citation Record lists 37 of 37 outbound references and 1 inbound Pith citation observation for arXiv:2502.03992.

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

pith.paper-citation-record.v1
2502.03992 v1

Coverage vector

measured 37 of 37 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T00:00:06.917137Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T00:26:34.180935Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-11T00:26:34.249397Z

Reference resolution

37 of 37 outbound references displayed

  • verified exact2
  • verified fuzzy34
  • unresolved1
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 0181ecc9-a31f-445a-8d5f-006a561d3594 · outbound

This paper cites Leveraging Abstract Meaning Representation for knowledge base question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Leveraging Abstract Meaning Representation for knowledge base question answering,

Reference 1

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.476306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.754505Z digest=sha256:cc422496eaa9db0b15ca228bd32a282240e3f4dfe40f5f0dee02248e92fec57b

Observation e9a993e0-20f9-4e4a-81b8-d909d251190a · outbound

This paper cites Natural language question answering over rdf: a graph data driven approach,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Natural language question answering over rdf: a graph data driven approach,

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.462544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.759789Z digest=sha256:c86bbf74c27e377c9d25ec1ff2d985f475cf5b7ff532327c52cbf5e47553442a

Observation 19777f11-b9a7-4877-b572-7054f7462ae1 · outbound

This paper cites Message passing for complex question answering over knowledge graphs,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Message passing for complex question answering over knowledge graphs,

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.447725Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.764506Z digest=sha256:1c8df8caee28559d919311254f7600f27697b0fd4e30d85f1fefff8eb79f4da8

Observation e4c5a07a-04a7-4c30-9174-ee7395b2490c · outbound

This paper cites Beyond i.i.d.: Three levels of generalization for question answering on knowledge bases,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Beyond i.i.d.: Three levels of generalization for question answering on knowledge bases,

Reference 4

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.434036Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.769219Z digest=sha256:565fa198b03bed74f78b874b7d279e74cae0a3bdb756c37e61554fbb08960409

Observation 8c4f8282-e15f-4eca-a2e2-cffe03c3f3bf · outbound

This paper cites Don’t generate, discriminate: A proposal for grounding language models to real-world environments,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Don’t generate, discriminate: A proposal for grounding language models to real-world environments,

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.419989Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.774040Z digest=sha256:48790da9cd8bacbd21bec361edd067ec7ba42ed080ae35bdf144a0f0c1189365

Observation 154aae05-13f5-4cf4-9954-f2f3c980c069 · outbound

This paper cites Distribution shifts are bottlenecks: Extensive evalua- tion for grounding language models to knowledge bases,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Distribution shifts are bottlenecks: Extensive evalua- tion for grounding language models to knowledge bases,

Reference 6

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.405396Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.778661Z digest=sha256:e5831bc17bdf1a15a6fc1207dd63bcd24fd2e02d7f8a46b74c6c71b5610086be

Observation b2eca9cc-3029-4ec2-b1cd-82a431318b15 · outbound

This paper cites Open domain question answering using early fusion of knowledge bases and text,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Open domain question answering using early fusion of knowledge bases and text,

Reference 7

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.391215Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.783587Z digest=sha256:cd88901f244d1c440f66f5e3273333c909ffb272e493e4205304e7af703c204d

Observation 3c6c35bf-acb1-4f4a-90d0-ecadafa5883b · outbound

This paper cites Improving multi-hop question answering over knowledge graphs using knowledge base embeddings,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Improving multi-hop question answering over knowledge graphs using knowledge base embeddings,

Reference 8

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.377033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.787920Z digest=sha256:f9efdeb080d1580648ad9cba817de834981ce6389d42792f37a655bedb152d76

Observation c3fc156a-039d-4605-9d8b-26da2eb54d3f · outbound

This paper cites Exploiting hybrid semantics of relation paths for multi-hop question answering over knowledge graphs,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Exploiting hybrid semantics of relation paths for multi-hop question answering over knowledge graphs,

Reference 9

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.363219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.792283Z digest=sha256:605b8158bdff8118d24a1b537807a600646f45909b68f952dee0d9e896831381

Observation d844ff43-500e-4398-afe8-2befd6aa30d0 · outbound

This paper cites ReaRev: Adaptive reasoning for ques- tion answering over knowledge graphs,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering ReaRev: Adaptive reasoning for ques- tion answering over knowledge graphs,

Reference 10

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.349166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.796449Z digest=sha256:55dbc80b2e7a6bb85abf2dac139e1be49bfde7ba1e02203f585e4dc7f0d9e4f3

Observation 151b6ef3-52ce-4180-bf05-a2ae2b44b099 · outbound

This paper cites Free- base: a collaboratively created graph database for structuring human knowledge,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Free- base: a collaboratively created graph database for structuring human knowledge,

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.335566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.800712Z digest=sha256:89ba59d572f173382b9256945637d072fb3876910c7d705f1fe9d452c7739e13

Observation 246f42fe-55e2-4734-87b9-39ee05545ddb · outbound

This paper cites Variational reasoning for question answering with knowledge graph,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Variational reasoning for question answering with knowledge graph,

Reference 12

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.322575Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.805101Z digest=sha256:2358c4dc76a6cc97bfa40304f9a1d3272d632a05cbb9415e675d895de32b8294

Observation 6864c7c7-5718-44c2-81bb-1dd430a1cca8 · outbound

This paper cites An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering An Empirical Study of Pre-trained Language Models in Simple Knowledge Graph Question Answering

Reference 13

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:00:06.997441Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.809663Z digest=sha256:abd17b1250519e4e0f7a4a862f3a52e47be7665abf474c648038775c4b166199

Observation e74f496c-0c35-4dba-9993-e6b7eaddf5fb · outbound

This paper cites Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Can ChatGPT Replace Traditional KBQA Models? An In-depth Analysis of the Question Answering Performance of the GPT LLM Family

Reference 14

Resolution
verified exact
local_arxiv, observed 2026-08-09T00:00:06.975880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.814390Z digest=sha256:b158972075e2932de7048b4afabda35ff72652b5796876ee5b7f655652d36b60

Observation ef25bd33-1811-42b0-b6e7-f2404930a6ff · outbound

This paper cites Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Retrieve-Rewrite-Answer: A KG-to-Text Enhanced LLMs Framework for Knowledge Graph Question Answering

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-09T00:00:06.819099Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T00:00:06.819099Z digest=sha256:81e1822ac26950fa589b0f7555634c6de84ad2ff5dfb3a0de34e1fbb197ddbdc

Observation 40da1afd-4dea-4680-984d-1ea5bcbf41b8 · outbound

This paper cites Survey of hallucination in natural language generation,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Survey of hallucination in natural language generation,

Reference 16

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.309415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.823994Z digest=sha256:6ce2c127837a2cb44014ae2664ad83697b737e7cf02e4630ebee580757152eda

Observation 59b4f898-413f-43bb-a8ec-b5aedc977b53 · outbound

This paper cites Is GPT fit for kgqa? - preliminary results,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Is GPT fit for kgqa? - preliminary results,

Reference 17

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.295636Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.828425Z digest=sha256:7a860a2f59297488b0d06559421f576cffba55662cf98f42bb6ce7a155aaf808

Observation 1714bfc5-e681-47a7-ab27-53287857c96f · outbound

This paper cites A two-stage approach towards generalization in knowledge base question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering A two-stage approach towards generalization in knowledge base question answering,

Reference 18

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.282452Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.832713Z digest=sha256:8d1b9e173120f92b3191720d9dad6b92647c918ee31a5502d97a6b3a03abb4f2

Observation 7ab9cce0-8b41-4921-87c0-b46d3e118e49 · outbound

This paper cites Few- shot text-to-sql translation using structure and content prompt learning,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Few- shot text-to-sql translation using structure and content prompt learning,

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.268872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.837203Z digest=sha256:c86703fcf900b47b125452b8960945127d689c302ec8d881d4afcd4e3a665b97

Observation 2b948674-94b2-49b1-82a6-859e7cdc77db · outbound

This paper cites Dbpedia: A nucleus for a web of open data,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Dbpedia: A nucleus for a web of open data,

Reference 20

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.255263Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.841788Z digest=sha256:46b519ed9b313849be9319cca1b0d5f234d4d0dbc5ca04f3a35d53921a0071ba

Observation 8285c5a7-e5f3-4c50-853c-3cad4bf8dc45 · outbound

This paper cites Dblp-quad: A question answering dataset over the DBLP scholarly knowledge graph,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Dblp-quad: A question answering dataset over the DBLP scholarly knowledge graph,

Reference 21

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.241455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.846475Z digest=sha256:b9b1c1eadb855ddc9667c72aeb633b2a7e4c28a53ba52312faf8ccd6c01165f0

Observation 79ed1569-1b1a-4a5c-b513-45b31e273359 · outbound

This paper cites A structure and content prompt- based method for knowledge graph question answering over scholarly data,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering A structure and content prompt- based method for knowledge graph question answering over scholarly data,

Reference 22

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.227572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.850819Z digest=sha256:0f3da8660828b4547e965793075e62ac37983dd46b2d367402ba2dc00b78420d

Observation 173b27e9-23d6-4c66-8d07-a033b18e1328 · outbound

This paper cites Text2kgbench: A benchmark for ontology-driven knowledge graph generation from text,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Text2kgbench: A benchmark for ontology-driven knowledge graph generation from text,

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.214230Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.855503Z digest=sha256:5860cb7e1818893c761f9f0e5708d1783d8e58d56f942295827197e4abd46c89

Observation d46be300-ddd9-4022-8391-025f09bc496f · outbound

This paper cites Compositional generalization via semantic tagging,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Compositional generalization via semantic tagging,

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.200587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.859979Z digest=sha256:98802e3648563c83880487ea250573bd1746a27bac630c26f9b345df56e8ac4f

Observation 0115712a-ce73-4d0b-889f-25e2acef50b2 · outbound

This paper cites Machine translation decoding beyond beam search,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Machine translation decoding beyond beam search,

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.186207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.864383Z digest=sha256:04000555c32bc3296660ee4ce6585d3a202e7eb53fa4d69ff095cff74f4f001c

Observation 4027167c-a146-4045-ba4c-889473fd7dd1 · outbound

This paper cites Controllable abstractive summa- rization,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Controllable abstractive summa- rization,

Reference 26

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.172335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.868742Z digest=sha256:b00dbeb68af292b3e94e2108b1d89a84c4f3e3ef1286166f62044754658081b2

Observation 4e9779a7-73d3-43b0-bfab-1339a6ead274 · outbound

This paper cites Grammar-constrained neural semantic parsing with LR parsers,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Grammar-constrained neural semantic parsing with LR parsers,

Reference 27

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.158550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.873348Z digest=sha256:390e03c774ff298e0fa8646dd573e7d4c155dbae952e6a8935fe9eab7dd5973d

Observation 2aed3a48-1192-465d-8a9c-3fc8a18edfb5 · outbound

This paper cites Grammar-constrained decoding for structured NLP tasks without finetuning,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Grammar-constrained decoding for structured NLP tasks without finetuning,

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.144795Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.877768Z digest=sha256:9f1c197159ea58844d8a85c591804d78ea99d3176b36b86ad683f5a42c7df363

Observation f3cc0d1d-6595-4f66-bb96-35509cea9c65 · outbound

This paper cites Subgraph retrieval enhanced model for multi-hop knowledge base question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Subgraph retrieval enhanced model for multi-hop knowledge base question answering,

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.131153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.882285Z digest=sha256:b63f6d541d606ab714778e9c3b865eafb66f5331be772eecd273722ef6ed5e67

Observation 5112e1ed-4e88-4e4f-947c-6643021cd333 · outbound

This paper cites ReasoningLM: En- abling structural subgraph reasoning in pre-trained language models for question answering over knowledge graph,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering ReasoningLM: En- abling structural subgraph reasoning in pre-trained language models for question answering over knowledge graph,

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.117180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.886565Z digest=sha256:3530f3da50455e1c24b32fffb30d8fda65a4d1745aa37142c226474e80c6383d

Observation b1d3785d-3140-40d4-af99-0a87671ba576 · outbound

This paper cites PullNet: Open domain question answering with iterative retrieval on knowledge bases and text,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering PullNet: Open domain question answering with iterative retrieval on knowledge bases and text,

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.103267Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.890894Z digest=sha256:dd17c5a937eca3cc4da01ad17d5d8a2e420ffc77d8c4241c59aed01ddf972107

Observation ac6b058e-f57c-4294-8d2f-69e9a8141c5e · outbound

This paper cites Outlining and filling: Hierarchical query graph generation for answering complex questions over knowledge graphs,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Outlining and filling: Hierarchical query graph generation for answering complex questions over knowledge graphs,

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.089296Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.895182Z digest=sha256:0b1dbcd202db5797c26e47502b5f96bed3d783895b79c8ca9e10a61bfc7a062d

Observation 9421e2d5-4589-40fa-acb6-e6dda8ccdde3 · outbound

This paper cites LongT5: Efficient text-to-text transformer for long sequences,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering LongT5: Efficient text-to-text transformer for long sequences,

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.074802Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.899502Z digest=sha256:558d030eaf1cc3198caaab6e455096cb3554027630ddad20e95a83d2ce0b6e8b

Observation b2d0caab-f500-4a66-9bdf-b19814cb2c26 · outbound

This paper cites Subgraph retrieval enhanced model for multi-hop knowledge base question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Subgraph retrieval enhanced model for multi-hop knowledge base question answering,

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.059567Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.903807Z digest=sha256:235dcf18775efac653e15cb8b00882186e5d133858215d93230dbe8fa4c53e40

Observation 049cc9c9-e359-46ba-917b-e687c495fbb4 · outbound

This paper cites Generating a large dataset for neural question answering over the DBpedia knowledge base,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Generating a large dataset for neural question answering over the DBpedia knowledge base,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.044140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.908279Z digest=sha256:167da1d92ff87c714478aca406c336b0abaa168cf8c7d017ebc569acca951fb0

Observation 2787b962-4574-4335-9a2f-df067a5a457f · outbound

This paper cites Coarse-to-fine decoding for neural semantic parsing,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Coarse-to-fine decoding for neural semantic parsing,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.028500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.912714Z digest=sha256:5d48118044de3798ba397f8130d4ef45b7b28ef654441f8b5b03a7505b35f12d

Observation b85a4005-e8be-4a46-9c09-c912e0bf1d50 · outbound

This paper cites Knowledge-augmented language model prompting for zero-shot knowledge graph question answering,.

Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering Knowledge-augmented language model prompting for zero-shot knowledge graph question answering,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T00:00:07.013373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-09T00:00:06.917137Z digest=sha256:ed82b14240e5db3e0100aaad369248a885aa470d1850da461f7827043b17bcc1

Pith citing papers

Observation 5e31b3f7-573d-4c15-9ec2-d657abd67bb0 · inbound

Towards Researcher Agents for Knowledge-Graph Question Answering cites this paper.

Towards Researcher Agents for Knowledge-Graph Question Answering Ontology-Guided, Hybrid Prompt Learning for Generalization in Knowledge Graph Question Answering

Reference 22

Resolution
verified exact
local_arxiv, observed 2026-08-11T00:26:34.255816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

source=pdf_text observed=2026-08-11T00:26:34.180935Z digest=sha256:b8555be9e51bbff184017d23cbf9126ecb19e546971c59f93e2a6d7894798462