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Paper Citation Record · LEDGER

Benchmarking pre-trained text embedding models in aligning built asset information

As of 21 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2411.12056.

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

pith.paper-citation-record.v1
2411.12056 v1

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T18:02:23.285625Z

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+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

13 of 13 outbound references displayed

  • verified exact0
  • verified fuzzy8
  • unresolved5
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 05171453-e0c1-4a6a-b817-216366b375a1 · outbound

This paper cites buildingSmart International.

Benchmarking pre-trained text embedding models in aligning built asset information buildingSmart International

Reference 2

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.448420Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T18:02:23.239038Z digest=sha256:a9e8ae97fc68aec402b8e41126f07864b7cd2e6f152530354cc981f87a598dab

Observation 3833530e-5006-4b6d-a21b-3a18d27bf6e0 · outbound

This paper cites Cappuzzo, P.

Benchmarking pre-trained text embedding models in aligning built asset information Cappuzzo, P

Reference 3

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.438385Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T18:02:23.243232Z digest=sha256:d996a14e593e94fe36e4c8f15b2a2730c1042c76822fdc8c45d34c6ee37293cb

Observation 89b5a276-e8d8-411f-b12c-e9b704b6b3b4 · outbound

This paper cites Forth, P.

Benchmarking pre-trained text embedding models in aligning built asset information Forth, P

Reference 5

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.426688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T18:02:23.252351Z digest=sha256:a4f7d8c91dbf2a2700d7f5c94b4a768feba86ef4442f5374baa88916060138c5

Observation 172a0f9a-fc30-4d2e-b188-9fc3b0b4ae5a · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Benchmarking pre-trained text embedding models in aligning built asset information NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.256694Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.256694Z digest=sha256:47f906abd85f494d73f1f09d892462067c91f4e3aa131df37809a763be84c9dd

Observation 1dac8c45-808d-4018-af36-66e71f9f20f9 · outbound

This paper cites an unresolved cited work.

Benchmarking pre-trained text embedding models in aligning built asset information Unresolved cited work

Reference 7

Resolution
unresolved
raw_fallback, observed 2026-08-12T18:02:23.414258Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T18:02:23.261181Z digest=sha256:c7da8fdcf8f13463b0915f93dc0054b1179421d51637cdaf191d5c76a97efab4

Observation 1a3877d5-b0e7-4f1d-a818-07899fb88e1c · outbound

This paper cites Reimers and I.

Benchmarking pre-trained text embedding models in aligning built asset information Reimers and I

Reference 11

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.378793Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T18:02:23.277256Z digest=sha256:6f6c2fd98077106d4a72cfca9fc3d762ae1288ea0cce79c7259d1f50b9c21878

Observation f152dbe8-3931-4f46-a4cc-1748767e3f05 · outbound

This paper cites Rosenberg and J.

Benchmarking pre-trained text embedding models in aligning built asset information Rosenberg and J

Reference 2018

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.365828Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T18:02:23.285625Z digest=sha256:46df4f99a0405bfe746ff328439233fa5734e58fba1e90d425bcad6c69b9018b

Observation 20d91195-7094-4587-878c-d2edb80f1d31 · outbound

This paper cites Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks.

Benchmarking pre-trained text embedding models in aligning built asset information Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.281488Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.281488Z digest=sha256:dd72ec0d75d9c5ab2dadbf7d046efd72681bf78fff4e952c23d95a5edec2b10a

Observation 08e5e32d-dac3-4992-a6ae-3f84d689af7b · outbound

This paper cites The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding.

Benchmarking pre-trained text embedding models in aligning built asset information The Scandinavian Embedding Benchmarks: Comprehensive Assessment of Multilingual and Monolingual Text Embedding

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.247317Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.247317Z digest=sha256:241b4c61b6b0f77fc74b6306e368b22b792c75dbcbd1df85b1d96182e7ead61a

Observation 38c7ac53-397c-43f8-bb05-5135dcca6808 · outbound

This paper cites Pennington, R.

Benchmarking pre-trained text embedding models in aligning built asset information Pennington, R

Reference 2021

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.390217Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T18:02:23.272944Z digest=sha256:eb703a3a04ddcc94dcab10972000a3f758d3327da134caab7dcfc8339198d4ff

Observation 7ab3a976-9599-4310-b7f6-5c52c1e4af34 · outbound

This paper cites National building specification.

Benchmarking pre-trained text embedding models in aligning built asset information National building specification

Reference 2022

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.402298Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T18:02:23.269322Z digest=sha256:66f30e684746474bb5ccbada9c1a3040f577bdee3c14837a1295befd316392e8

Observation 74aaac0e-505f-4bb7-b2b1-a810b28e08a5 · outbound

This paper cites MTEB: Massive Text Embedding Benchmark.

Benchmarking pre-trained text embedding models in aligning built asset information MTEB: Massive Text Embedding Benchmark

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-12T18:02:23.265226Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T18:02:23.265226Z digest=sha256:cd2eb2a83b5201ed4bf4a2638785ad37fceaaf59fafc8ece51cea1018f8ac929

Observation 285a23f3-e1d7-470e-be8f-92c61a0cf7cb · outbound

This paper cites 10 Ifcopenshell.

Benchmarking pre-trained text embedding models in aligning built asset information 10 Ifcopenshell

Reference 2024

Resolution
verified fuzzy
raw_fallback, observed 2026-08-12T18:02:23.459566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-08-12T18:02:23.234491Z digest=sha256:74f3f191f14c53e8e30db39500911599e9b3b3b499762972bccc38ae86422b98

Pith citing papers

No inbound Pith citation observations are available.